PerlMagick Image API for Perl
Installation • Overview • Example Script • Read or Write an Image • Manipulate an Image • Set an Image Attribute • Get an Image Attribute • Compare an Image to its Reconstruction • Create an Image Montage • Working with Blobs • Direct-access to Image Pixels • Miscellaneous Methods • Handling Exceptions• Constant
PerlMagick is an objected-oriented Perl interface to ImageMagick. Use the module to read, manipulate, or write an image or image sequence from within a Perl script. This makes it very suitable for Web CGI scripts. You must have ImageMagick 6.5.5 or above and Perl version 5.005_02 or greater installed on your system for PerlMagick to build properly.
There are a number of useful scripts available to show you the value of PerlMagick. You can do Web based image manipulation and conversion with MagickStudio, or use L-systems to create images of plants using mathematical constructs, and finally navigate through collections of thumbnail images and select the image to view with the WebMagick Image Navigator.
You can try PerlMagick from your Web browser at the ImageMagick Studio. Or, you can see examples of select PerlMagick functions.
Installation
UNIX
Is PerlMagick available from your system RPM repository? For example, on our CentOS system, we install PerlMagick thusly:
yum install ImageMagick-perl
If not, you must install PerlMagick from the ImageMagick source distribution. Download the latest source release.
Unpack the distribution with this command:
tar xvzf ImageMagick.tar.gz
Next configure and compile ImageMagick:
$ cd ImageMagick-7.1.1
$ ./configure -with-perl
$ make
If ImageMagick / PerlMagick configured and compiled without complaint, you are ready to install it on your system. Administrator privileges are required to install. To install, type
sudo make install
You may need to configure the dynamic linker run-time bindings:
sudo ldconfig /usr/local/lib
Finally, verify the PerlMagick install worked properly, type
perl -MImage::Magick -le 'print Image::Magick->QuantumDepth'
Congratulations, you have a working ImageMagick distribution and you are ready to use PerlMagick to convert, compose, or edit your images.
Windows XP / Windows 2000
ImageMagick must already be installed on your system. Also, the ImageMagick source distribution for Windows 2000 is required. You must also have the nmake from the Visual C++ or J++ development environment. Copy \bin\IMagick.dll and \bin\X11.dll to a directory in your dynamic load path such as c:\perl\site\5.00502.
Next, type
cd PerlMagick perl Makefile.nt nmake nmake install
Running the Regression Tests
To verify a correct installation, type
make test
Use nmake test under Windows. There are a few demonstration scripts available to exercise many of the functions PerlMagick can perform. Type
Use the prove utility to execute a test from the build folder:
prove --blib blib -I `pwd` -bv ./t/read.t
cd demo make
You are now ready to utilize the PerlMagick methods from within your Perl scripts.
Overview
Any script that wants to use PerlMagick methods must first define the methods within its namespace and instantiate an image object. Do this with:
use Image::Magick; $image = Image::Magick->new;
PerlMagick is quantum aware. You can request a specific quantum depth when you instantiate an image object:
use Image::Magick::Q16; $image = Image::Magick::Q16->new;
The new() method takes the same parameters as SetAttribute . For example,
$image = Image::Magick->new(size=>'384x256');
Next you will want to read an image or image sequence, manipulate it, and then display or write it. The input and output methods for PerlMagick are defined in Read or Write an Image. See Set an Image Attribute for methods that affect the way an image is read or written. Refer to Manipulate an Image for a list of methods to transform an image. Get an Image Attribute describes how to retrieve an attribute for an image. Refer to Create an Image Montage for details about tiling your images as thumbnails on a background. Finally, some methods do not neatly fit into any of the categories just mentioned. Review Miscellaneous Methods for a list of these methods.
Once you are finished with a PerlMagick object you should consider destroying it. Each image in an image sequence is stored in virtual memory. This can potentially add up to mebibytes of memory. Upon destroying a PerlMagick object, the memory is returned for use by other Perl methods. The recommended way to destroy an object is with undef:
undef $image;
To delete all the images but retain the Image::Magick object use
@$image = ();
and finally, to delete a single image from a multi-image sequence, use
undef $image->[$x];
The next section illustrates how to use various PerlMagick methods to manipulate an image sequence.
Some of the PerlMagick methods require external programs such as Ghostscript. This may require an explicit path in your PATH environment variable to work properly. For example (in Linux),
$ENV{PATH}' . "='/../bin:/usr/bin:/usr/local/bin';
Example Script
Here is an example script to get you started:
#!/usr/local/bin/perl use Image::Magick;
my($image, $x);
$image = Image::Magick->new; $x = $image->Read('girl.png', 'logo.png', 'rose.png'); warn "$x" if "$x";
$x = $image->Crop(geometry=>'100x100+100+100'); warn "$x" if "$x";
$x = $image->Write('x.png'); warn "$x" if "$x";
The script reads three images, crops them, and writes a single image as a GIF animation sequence. In many cases you may want to access individual images of a sequence. The next example illustrates how this done:
#!/usr/local/bin/perl use Image::Magick;
my($image, $p, $q);
$image = new Image::Magick; $image->Read('x1.png'); $image->Read('j*.jpg'); $image->Read('k.miff[1, 5, 3]'); $image->Contrast(); for ($x = 0; $image->[$x]; $x++) { $image->[$x]->Frame('100x200') if $image->[$x]->Get('magick') eq 'GIF'; undef $image->[$x] if $image->[$x]->Get('columns') < 100; } $p = $image->[1]; $p->Draw(stroke=>'red', primitive=>'rectangle', points=>20,20 100,100'); $q = $p->Montage(); undef $image; $q->Write('x.miff');
Suppose you want to start out with a 100 by 100 pixel white canvas with a red pixel in the center. Try
$image = Image::Magick->new; $image->Set(size=>'100x100'); $image->ReadImage('canvas:white'); $image->Set('pixel[49,49]'=>'red');
Here we reduce the intensity of the red component at (1,1) by half:
@pixels = $image->GetPixel(x=>1,y=>1); $pixels[0]*=0.5; $image->SetPixel(x=>1,y=>1,color=>\@pixels);
Or suppose you want to convert your color image to grayscale:
$image->Quantize(colorspace=>'gray');
Let's annotate an image with a Taipai TrueType font:
$text = 'Works like magick!'; $image->Annotate(font=>'kai.ttf', pointsize=>40, fill=>'green', text=>$text);
Perhaps you want to extract all the pixel intensities from an image and write them to STDOUT:
@pixels = $image->GetPixels(map=>'I', height=>$height, width=>$width, normalize=>true); binmode STDOUT; print pack('B*',join('',@pixels));
Other clever things you can do with a PerlMagick objects include
$i = $#$p"+1"; # return the number of images associated with object p push(@$q, @$p); # push the images from object p onto object q @$p = (); # delete the images but not the object p $p->Convolve([1, 2, 1, 2, 4, 2, 1, 2, 1]); # 3x3 Gaussian kernel
Read or Write an Image
Use the methods listed below to either read, write, or display an image or image sequence:
Method | Parameters | Return Value | Description |
---|---|---|---|
Read | one or more filenames | the number of images read | read an image or image sequence |
Write | filename | the number of images written | write an image or image sequence |
Display | server name | the number of images displayed | display the image or image sequence to an X server |
Animate | server name | the number of images animated | animate image sequence to an X server |
For convenience, methods Write(), Display(), and Animate() can take any parameter that SetAttribute knows about. For example,
$image->Write(filename=>'image.png', compression=>'None');
Use - as the filename to method Read() to read from standard in or to method Write() to write to standard out:
binmode STDOUT; $image->Write('png:-');
To read an image in the GIF format from a PERL filehandle, use:
$image = Image::Magick->new; open(IMAGE, 'image.gif'); $image->Read(file=>\*IMAGE); close(IMAGE);
To write an image in the PNG format to a PERL filehandle, use:
$filename = "image.png"; open(IMAGE, ">$filename"); $image->Write(file=>\*IMAGE, filename=>$filename); close(IMAGE);
Note, reading from or writing to a Perl filehandle may fail under Windows due to different versions of the C-runtime libraries between ImageMagick and the ActiveState Perl distributions or if one of the DLL's is linked with the /MT option. See Potential Errors Passing CRT Objects Across DLL Boundaries for an explanation.
If %0Nd, %0No, or %0Nx appears in the filename, it is interpreted as a printf format specification and the specification is replaced with the specified decimal, octal, or hexadecimal encoding of the scene number. For example,
image%03d.miff
converts files image000.miff, image001.miff, etc.
You can optionally add Image to any method name. For example, ReadImage() is an alias for method Read().
Manipulate an Image
Once you create an image with, for example, method ReadImage() you may want to operate on it. Below is a list of all the image manipulations methods available to you with PerlMagick. There are examples of select PerlMagick methods. Here is an example call to an image manipulation method:
$image->Crop(geometry=>'100x100+10+20'); $image->[$x]->Frame("100x200");
And here is a list of other image manipulation methods you can call:
Method | Parameters | Description |
---|---|---|
AdaptiveBlur | geometry=>geometry, radius=>double, sigma=>double, bias=>double, channel=>{All, Default, Alpha, Black, Blue, CMYK, Cyan, Gray, Green, Index, Magenta, Alpha, Red, RGB, Yellow} | adaptively blur the image with a Gaussian operator of the given radius and standard deviation (sigma). Decrease the effect near edges. |
AdaptiveResize | geometry=>geometry, width=>integer, height=>integer, filter=>{Point, Box, Triangle, Hermite, Hanning, Hamming, Blackman, Gaussian, Quadratic, Cubic, Catrom, Mitchell, Lanczos, Bessel, Sinc}, support=>double, blur=>double | adaptively resize image using data dependant triangulation. Specify blur > 1 for blurry or < 1 for sharp |
AdaptiveSharpen | geometry=>geometry, radius=>double, sigma=>double, bias=>double, channel=>{All, Default, Alpha, Black, Blue, CMYK, Cyan, Gray, Green, Index, Magenta, Alpha, Red, RGB, Yellow} | adaptively sharpen the image with a Gaussian operator of the given radius and standard deviation (sigma). Increase the effect near edges. |
AdaptiveThreshold | geometry=>geometry, width=>integer, height=>integer, bias=>double | local adaptive thresholding. |
AddNoise | noise=>{Uniform, Gaussian, Multiplicative, Impulse, Laplacian, Poisson}, attenuate=>double, channel=>{All, Default, Alpha, Black, Blue, CMYK, Cyan, Gray, Green, Index, Magenta, Alpha, Red, RGB, Yellow} | add noise to an image |
AffineTransform | affine=>array of float values, translate=>float, float, scale=> float, float, rotate=>float, skewX=>float, skewY=>float, interpolate={Average, Bicubic, Bilinear, Filter, Integer, Mesh, NearestNeighbor}, background=>color name | affine transform image |
Affinity | image=>image-handle, method=>{None, FloydSteinberg, Riemersma} | choose a particular set of colors from this image |
Annotate | text=>string, font=>string, family=>string, style=>{Normal, Italic, Oblique, Any}, stretch=>{Normal, UltraCondensed, ExtraCondensed, Condensed, SemiCondensed, SemiExpanded, Expanded, ExtraExpanded, UltraExpanded}, weight=>integer, pointsize=>integer, density=>geometry, stroke=>color name, strokewidth=>integer, fill=>color name, undercolor=>color name, kerning=>float, geometry=>geometry, gravity=>{NorthWest, North, NorthEast, West, Center, East, SouthWest, South, SouthEast}, antialias=>{true, false}, x=>integer, y=>integer, affine=>array of float values, translate=>float, float, scale=>float, float, rotate=>float. skewX=>float, skewY=> float, align=>{Left, Center, Right}, encoding=>{UTF-8}, interline-spacing=>double, interword-spacing=>double, direction=>{right-to-left, left-to-right}, decorate=>{none, underline, overline, line-through}, word-break=>{normal, break-word} | annotate an image with text. See QueryFontMetrics to get font metrics without rendering any text. |
AutoGamma | channel=>{All, Default, Alpha, Black, Blue, CMYK, Cyan, Gray, Green, Index, Magenta, Alpha, Red, RGB, Yellow} | automagically adjust gamma level of image |
AutoLevel | channel=>{All, Default, Alpha, Black, Blue, CMYK, Cyan, Gray, Green, Index, Magenta, Alpha, Red, RGB, Yellow} | automagically adjust color levels of image |
AutoOrient | adjusts an image so that its orientation is suitable for viewing (i.e. top-left orientation) | |
AutoThreshold | method=>{Kapur, OTSU, Triangle} | automatically perform image thresholding |
BilateralSmoothing | geometry=>geometry, width=>integer, height=>integer, intensity-sigma=>double, spatial-sigma=>double, channel=>{All, Default, Alpha, Black, Blue, CMYK, Cyan, Gray, Green, Index, Magenta, Alpha, Red, RGB, Yellow} | a non-linear, edge-preserving, and noise-reducing smoothing filter for images. It replaces the intensity of each pixel with a weighted average of intensity values from nearby pixels. This weight is based on a Gaussian distribution. The weights depend not only on Euclidean distance of pixels, but also on the radiometric differences (e.g., range differences, such as color intensity, depth distance, etc.). This preserves sharp edges. The default value for the intensity and spatial sigmas are 2*diameter and 0.5*diameter respectively. |
BlackThreshold | threshold=>color, channel=>{All, Default, Alpha, Black, Blue, CMYK, Cyan, Gray, Green, Index, Magenta, Alpha, Red, RGB, Yellow} | force all pixels below the threshold intensity into black |
BlueShift | factor=>double, | simulate a scene at nighttime in the moonlight. Start with a factor of 1.5. |
Blur | geometry=>geometry, radius=>double, sigma=>double, bias=>double, channel=>{All, Default, Alpha, Black, Blue, CMYK, Cyan, Gray, Green, Index, Magenta, Alpha, Red, RGB, Yellow} | reduce image noise and reduce detail levels with a Gaussian operator of the given radius and standard deviation (sigma). |
Border | geometry=>geometry, width=>integer, height=>integer, bordercolor=>color name, compose=>{Undefined, Add, Atop, Blend, Bumpmap, Clear, ColorBurn, ColorDodge, Colorize, CopyBlack, CopyBlue, CopyCMYK, Cyan, CopyGreen, Copy, CopyMagenta, CopyAlpha, CopyRed, RGB, CopyYellow, Darken, Dst, Difference, Displace, Dissolve, DstAtop, DstIn, DstOut, DstOver, Dst, Exclusion, HardLight, Hue, In, Lighten, Luminize, Minus, Modulate, Multiply, None, Out, Overlay, Over, Plus, ReplaceCompositeOp, Saturate, Screen, SoftLight, Src, SrcAtop, SrcIn, SrcOut, SrcOver, Src, Subtract, Threshold, Xor }, | surround the image with a border of color |
CannyEdge | geometry=>geometry, radius=>double, sigma=>double, 'lower-percent'=>double, 'upper-percent'=>double | use a multi-stage algorithm to detect a wide range of edges in the image (e.g. CannyEdge('0x1+10%+40%')). |
Charcoal | geometry=>geometry, radius=>double, sigma=>double | simulate a charcoal drawing |
Chop | geometry=>geometry, width=>integer, height=>integer, x=>integer, y=>integer, gravity=>{NorthWest, North, NorthEast, West, Center, East, SouthWest, South, SouthEast} | chop an image |
CLAHE | geometry=>geometry, width=>integer, height=>integer, number-bins=>integer, clip-limit=>double | contrast limited adaptive histogram equalization. width, height divides the image into tiles. number-bins is the number of histogram bins per tile (min 2, max 256). clip-limit is the contrast limit for localised changes in contrast. A clip-limit of 2 to 3 is a good starting place. |
Clamp | channel=>{Red, RGB, All, etc.} | set each pixel whose value is below zero to zero and any the pixel whose value is above the quantum range to the quantum range (e.g. 65535) otherwise the pixel value remains unchanged. |
Clip | id=>name, inside=>{true, false}, | apply along a named path from the 8BIM profile. |
ClipMask | mask=>image-handle | clip image as defined by the image mask |
Clut | image=>image-handle, interpolate={Average, Bicubic, Bilinear, Filter, Integer, Mesh, NearestNeighbor}, channel=>{Red, RGB, All, etc.} | apply a color lookup table to an image sequence |
Color | color=>color name | set the entire image to this color. |
ColorDecisionList | filename=>string, | color correct with a color decision list. |
Colorize | fill=>color name, blend=>string | colorize the image with the fill color |
ColorMatrix | matrix=>array of float values | apply color correction to the image. Although you can use variable sized matrices, typically you use a 5 x 5 for an RGBA image and a 6x6 for CMYKA. A 6x6 matrix is required for offsets (populate the last column with normalized values). |
Colorspace | colorspace=>{RGB, Gray, Transparent, OHTA, XYZ, YCbCr, YCC, YIQ, YPbPr, YUV, CMYK} | set the image colorspace |
Comment | string | add a comment to your image |
ColorThreshold | start-color=>color, stop-color=>color, channel=>{All, Default, Alpha, Black, Blue, CMYK, Cyan, Gray, Green, Index, Magenta, Alpha, Red, RGB, Yellow} | force all pixels below the threshold intensity into black |
CompareLayers | method=>{any, clear, overlay} | compares each image with the next in a sequence and returns the minimum bounding region of any pixel differences it discovers. Images do not have to be the same size, though it is best that all the images are coalesced (images are all the same size, on a flattened canvas, so as to represent exactly how a specific frame should look). |
Composite | image=>image-handle, compose=>{Undefined, Add, Atop, Blend, Bumpmap, Clear, ColorBurn, ColorDodge, Colorize, CopyBlack, CopyBlue, CopyCMYK, Cyan, CopyGreen, Copy, CopyMagenta, CopyAlpha, CopyRed, RGB, CopyYellow, Darken, Dst, Difference, Displace, Dissolve, DstAtop, DstIn, DstOut, DstOver, Dst, Exclusion, HardLight, Hue, In, Lighten, Luminize, Minus, Modulate, Multiply, None, Out, Overlay, Over, Plus, ReplaceCompositeOp, Saturate, Screen, SoftLight, Src, SrcAtop, SrcIn, SrcOut, SrcOver, Src, Subtract, Threshold, Xor }, mask=>image-handle, geometry=>geometry, x=>integer, y=>integer, gravity=>{NorthWest, North, NorthEast, West, Center, East, SouthWest, South, SouthEast}, opacity=>integer, tile=>{True, False}, rotate=>double, color=>color name, blend=>geometry, interpolate=>{undefined, average, bicubic, bilinear, filter, integer, mesh, nearest-neighbor, spline}, clip-to-self=>{True, False} | composite one image onto another. Use the rotate parameter in concert with the tile parameter. |
ConnectedComponents | connectivity=>integer, | connected-components uniquely labeled, choose from 4 or 8 way connectivity. |
Contrast | sharpen=>{True, False} | enhance or reduce the image contrast |
ContrastStretch | levels=>string, 'black-point'=>double, 'white-point'=>double, channel=>{Red, RGB, All, etc.} | improve the contrast in an image by `stretching' the range of intensity values |
Convolve | coefficients=>array of float values, channel=>{All, Default, Alpha, Black, Blue, CMYK, Cyan, Gray, Green, Index, Magenta, Alpha, Red, RGB, Yellow}, bias=>double | apply a convolution kernel to the image. Given a kernel order , you would supply order*order float values (e.g. 3x3 implies 9 values). |
CopyPixels | image=>image-handle, geometry=>geometry, width=>integer, height=>integer, x=>integer, y=>integer, offset=>geometry, gravity=>{NorthWest, North, NorthEast, West, Center, East, SouthWest, South, SouthEast}, dx=>integer, dy=>integer | copy pixels from the image as defined by the widthxheight+x+y to image at offset +dx,+dy. |
Crop | geometry=>geometry, width=>integer, height=>integer, x=>integer, y=>integer, fuzz=>double, gravity=>{NorthWest, North, NorthEast, West, Center, East, SouthWest, South, SouthEast} | crop an image |
CycleColormap | amount=>integer | displace image colormap by amount |
Decipher | passphrase=>string | convert cipher pixels to plain pixels |
Deconstruct | break down an image sequence into constituent parts | |
Deskew | geometry=>string,threshold=>double | straighten the image |
Despeckle | reduce the speckles within an image | |
Difference | image=>image-handle | compute the difference metrics between two images |
Distort | points=>array of float values, method=>{Affine, AffineProjection, ScaleRotateTranslate, SRT, Perspective, PerspectiveProjection, BilinearForward, BilinearReverse, Polynomial, Arc, Polar, DePolar, Barrel, BarrelInverse, Shepards, Resize}, 'virtual-pixel'=>{Background Black Constant Dither Edge Gray Mirror Random Tile Transparent White}, 'best-fit'=>{True, False} | distort image |
Draw | primitive=>{point, line, rectangle, arc, ellipse, circle, path, polyline, polygon, bezier, color, matte, text, @filename}, points=>string , method=>{Point, Replace, Floodfill, FillToBorder, Reset}, stroke=>color name, fill=>color name, font=>string, pointsize=>integer, strokewidth=>float, antialias=>{true, false}, bordercolor=>color name, x=>float, y=>float, dash-offset=>float, dash-pattern=>array of float values, affine=>array of float values, translate=>float, float, scale=>float, float, rotate=>float, skewX=>float, skewY=>float, interpolate=>{undefined, average, bicubic, bilinear, mesh, nearest-neighbor, spline}, kerning=>float, text=>string, vector-graphics=>string, interline-spacing=>double, interword-spacing=>double, direction=>{right-to-left, left-to-right}, word-break=>{normal, break-word} | annotate an image with one or more graphic primitives. |
Encipher | passphrase=>string | convert plain pixels to cipher pixels |
Edge | radius=>double | enhance edges within the image with a convolution filter of the given radius. |
Emboss | geometry=>geometry, radius=>double, sigma=>double | emboss the image with a convolution filter of the given radius and standard deviation (sigma). |
Enhance | apply a digital filter to enhance a noisy image | |
Equalize | channel=>{All, Default, Alpha, Black, Blue, CMYK, Cyan, Gray, Green, Index, Magenta, Alpha, Red, RGB, Yellow} |
perform histogram equalization to the image |
Extent | geometry=>geometry, width=>integer, height=>integer, x=>integer, y=>integer, fuzz=>double, background=>color name, gravity=>{NorthWest, North, NorthEast, West, Center, East, SouthWest, South, SouthEast} | set the image size |
Evaluate | value=>double, operator=>{Add, And, Divide, LeftShift, Max, Min, Multiply, Or, Rightshift, RMS, Subtract, Xor}, channel=>{All, Default, Alpha, Black, Blue, CMYK, Cyan, Gray, Green, Index, Magenta, Alpha, Red, RGB, Yellow} | apply an arithmetic, relational, or logical expression to the image |
Filter | kernel=>string, channel=>{All, Default, Alpha, Black, Blue, CMYK, Cyan, Gray, Green, Index, Magenta, Alpha, Red, RGB, Yellow}, bias=>double | apply a convolution kernel to the image. |
Flip | reflect the image scanlines in the vertical direction | |
Flop | reflect the image scanlines in the horizontal direction | |
FloodfillPaint | geometry=>geometry, channel=>{All, Default, Alpha, Black, Blue, CMYK, Cyan, Gray, Green, Index, Magenta, Alpha, Red, RGB, Yellow}, x=>integer, y=>integer , fill=>color name, bordercolor=>color name, fuzz=>double, invert=>{True, False} | changes the color value of any pixel that matches the color of the target pixel and is a neighbor. If you specify a border color, the color value is changed for any neighbor pixel that is not that color. |
ForwardFourierTransform | magnitude=>{True, False} | implements the forward discrete Fourier transform (DFT) |
Frame | geometry=>geometry, width=>integer, height=>integer, inner=>integer, outer=>integer, fill=>color name, compose=>{Undefined, Add, Atop, Blend, Bumpmap, Clear, ColorBurn, ColorDodge, Colorize, CopyBlack, CopyBlue, CopyCMYK, Cyan, CopyGreen, Copy, CopyMagenta, CopyAlpha, CopyRed, RGB, CopyYellow, Darken, Dst, Difference, Displace, Dissolve, DstAtop, DstIn, DstOut, DstOver, Dst, Exclusion, HardLight, Hue, In, Lighten, Luminize, Minus, Modulate, Multiply, None, Out, Overlay, Over, Plus, ReplaceCompositeOp, Saturate, Screen, SoftLight, Src, SrcAtop, SrcIn, SrcOut, SrcOver, Src, Subtract, Threshold, Xor }, | surround the image with an ornamental border |
Function | parameters=>array of float values, function=>{Sin}, 'virtual-pixel'=>{Background Black Constant Dither Edge Gray Mirror Random Tile Transparent White} | apply a function to the image |
Gamma | gamma=>string, channel=>{All, Default, Alpha, Black, Blue, CMYK, Cyan, Gray, Green, Index, Magenta, Alpha, Red, RGB, Yellow} | gamma correct the image |
GaussianBlur | geometry=>geometry, radius=>double, sigma=>double, bias=>double, channel=>{All, Default, Alpha, Black, Blue, CMYK, Cyan, Gray, Green, Index, Magenta, Alpha, Red, RGB, Yellow} | reduce image noise and reduce detail levels with a Gaussian operator of the given radius and standard deviation (sigma). |
GetPixel | geometry=>geometry, channel=>{All, Default, Alpha, Black, Blue, CMYK, Cyan, Gray, Green, Index, Magenta, Alpha, Red, RGB, Yellow}, normalize=>{true, false}, x=>integer, y=>integer | get a single pixel. By default normalized pixel values are returned. |
GetPixels | geometry=>geometry, width=>integer, height=>integer, x=>integer, y=>integer, map=>string, normalize=>{true, false} | get image pixels as defined by the map (e.g. "RGB", "RGBA", etc.). By default non-normalized pixel values are returned. |
Grayscale | channel=>{Average, Brightness, Lightness, Rec601Luma, Rec601Luminance, Rec709Luma, Rec709Luminance, RMS} | convert image to grayscale |
HaldClut | image=>image-handle, channel=>{Red, RGB, All, etc.} | apply a Hald color lookup table to an image sequence |
HoughLine | geometry=>geometry, width=>double, height=>double, threshold=>double | identify lines in the image (e.g. HoughLine('9x9+195')). |
Identify | file=>file, features=>distance, moments=>{True, False}, unique=>{True, False} | identify the attributes of an image |
Implode | amount=>double, interpolate=>{undefined, average, bicubic, bilinear, mesh, nearest-neighbor, spline} | implode image pixels about the center |
Integral | calculate the sum of values (pixel values) in the image. | |
InverseDiscreteFourierTransform | magnitude=>{True, False} | implements the inverse discrete Fourier transform (DFT) |
Kmeans | geometry=>geometry, 'colors'=>double, 'iterations'=>double, 'tolerance'=>double | K means color reduction. |
Kuwahara | geometry=>geometry, radius=>double, sigma=>double, bias=>double, channel=>{All, Default, Alpha, Black, Blue, CMYK, Cyan, Gray, Green, Index, Magenta, Alpha, Red, RGB, Yellow} | edge preserving noise reduction filter |
Label | string | assign a label to an image |
Layers | method=>{coalesce, compare-any, compare-clear, compare-over, composite, dispose, flatten, merge, mosaic, optimize, optimize-image, optimize-plus, optimize-trans, remove-dups, remove-zero}, compose=>{Undefined, Add, Atop, Blend, Bumpmap, Clear, ColorBurn, ColorDodge, Colorize, CopyBlack, CopyBlue, CopyCMYK, Cyan, CopyGreen, Copy, CopyMagenta, CopyAlpha, CopyRed, RGB, CopyYellow, Darken, Dst, Difference, Displace, Dissolve, DstAtop, DstIn, DstOut, DstOver, Dst, Exclusion, HardLight, Hue, In, Lighten, LinearLight, Luminize, Minus, Modulate, Multiply, None, Out, Overlay, Over, Plus, ReplaceCompositeOp, Saturate, Screen, SoftLight, Src, SrcAtop, SrcIn, SrcOut, SrcOver, Src, Subtract, Threshold, Xor }, dither=>{true, false} | compare each image the GIF disposed forms of the previous image in the sequence. From this, attempt to select the smallest cropped image to replace each frame, while preserving the results of the animation. |
Level | levels=>string, 'black-point'=>double, 'gamma'=>double, 'white-point'=>double, channel=>{Red, RGB, All, etc.} | adjust the level of image contrast |
LevelColors | invert=>>{True, False}, 'black-point'=>string, 'white-point'=>string, channel=>{Red, RGB, All, etc.} | level image with the given colors |
LinearStretch | levels=>string, 'black-point'=>double, 'white-point'=>double | linear with saturation stretch |
LiquidResize | geometry=>geometry, width=>integer, height=>integer, delta-x=>double, rigidity=>double | rescale image with seam-carving. |
Magnify | double the size of the image with pixel art scaling | |
Mask | mask=>image-handle | composite image pixels as defined by the mask |
MatteFloodfill | geometry=>geometry, x=>integer, y=>integer , matte=>integer, bordercolor=>color name, fuzz=>double, invert=>{True, False} | changes the matte value of any pixel that matches the color of the target pixel and is a neighbor. If you specify a border color, the matte value is changed for any neighbor pixel that is not that color. |
MeanShift | geometry=>geometry, width=>double, height=>double, distance=>double | delineate arbitrarily shaped clusters in the image (e.g. MeanShift('7x7+10%')). |
MedianFilter | geometry=>geometry, width=>integer, height=>integer, channel=>{All, Default, Alpha, Black, Blue, CMYK, Cyan, Gray, Green, Index, Magenta, Alpha, Red, RGB, Yellow} | replace each pixel with the median intensity pixel of a neighborhood. |
Minify | half the size of an image | |
Mode | geometry=>geometry, width=>integer, height=>integer, channel=>{All, Default, Alpha, Black, Blue, CMYK, Cyan, Gray, Green, Index, Magenta, Alpha, Red, RGB, Yellow} | make each pixel the predominant color of the neighborhood. |
Modulate | factor=>geometry, brightness=>double, saturation=>double, hue=>double, lightness=>double, whiteness=>double, blackness=>double | vary the brightness, saturation, and hue of an image by the specified percentage |
Morphology | kernel=>string, channel=>{All, Default, Alpha, Black, Blue, CMYK, Cyan, Gray, Green, Index, Magenta, Alpha, Red, RGB, Yellow}, iterations=>integer | apply a morphology method to the image. |
MotionBlur | geometry=>geometry, radius=>double, sigma=>double, angle=>double, bias=>double, channel=>{All, Default, Alpha, Black, Blue, CMYK, Cyan, Gray, Green, Index, Magenta, Alpha, Red, RGB, Yellow} | reduce image noise and reduce detail levels with a Gaussian operator of the given radius and standard deviation (sigma) at the given angle to simulate the effect of motion |
Negate | gray=>{True, False}, channel=>{All, Default, Alpha, Black, Blue, CMYK, Cyan, Gray, Green, Index, Magenta, Alpha, Red, RGB, Yellow} | replace each pixel with its complementary color (white becomes black, yellow becomes blue, etc.) |
Normalize | channel=>{All, Default, Alpha, Black, Blue, CMYK, Cyan, Gray, Green, Index, Magenta, Alpha, Red, RGB, Yellow} |
transform image to span the full range of color values |
OilPaint | radius=>integer | simulate an oil painting |
Opaque | color=>color name, fill=>color name, channel=>{All, Default, Alpha, Black, Blue, CMYK, Cyan, Gray, Green, Index, Magenta, Alpha, Red, RGB, Yellow}, invert=>{True, False} | change this color to the fill color within the image |
OrderedDither | threshold=>{threshold, checks, o2x2, o3x3, o4x4, o8x8, h4x4a, h6x6a, h8x8a, h4x4o, h6x6o, h8x8o, h16x16o, hlines6x4}, channel=>{All, Default, Alpha, Black, Blue, CMYK, Cyan, Gray, Green, Index, Magenta, Alpha, Red, RGB, Yellow} | order dither image |
Perceptible | epsilon=>double, channel=>{Red, RGB, All, etc.} | set each pixel whose value is less than |epsilon| to -epsilon or epsilon (whichever is closer) otherwise the pixel value remains unchanged.. |
Polaroid | caption=>string, angle=>double, pointsize=>double, font=>string, stroke=> color name, strokewidth=>integer, fill=>color name, gravity=>{NorthWest, North, NorthEast, West, Center, East, SouthWest, South, SouthEast}, background=>color name | simulate a Polaroid picture. |
Posterize | levels=>integer, dither=>{True, False} | reduce the image to a limited number of color level |
Profile | name=>string, profile=>blob, rendering-intent=>{Undefined, Saturation, Perceptual, Absolute, Relative}, black-point-compensation=>{True, False} | add or remove ICC or IPTC image profile; name is formal name (e.g. ICC or filename; set profile to '' to remove profile |
Quantize | colors=>integer, colorspace=>{RGB, Gray, Transparent, OHTA, XYZ, YCbCr, YIQ, YPbPr, YUV, CMYK, sRGB, HSL, HSB}, treedepth=> integer, dither=>{True, False}, dither-method=>{Riemersma, Floyd-Steinberg}, measure_error=>{True, False}, global_colormap=>{True, False}, transparent-color=>color | preferred number of colors in the image |
Raise | geometry=>geometry, width=>integer, height=>integer, x=>integer, y=>integer, raise=>{True, False} | lighten or darken image edges to create a 3-D effect |
RangeThreshold | geometry=>geometry, 'low-black'=>double, 'low-white'=>double, 'high-white'=>double, 'high-black'=>double | combine soft and hard image thresholding. |
ReduceNoise | geometry=>geometry, width=>integer, height=>integer, channel=>{All, Default, Alpha, Black, Blue, CMYK, Cyan, Gray, Green, Index, Magenta, Alpha, Red, RGB, Yellow} | reduce noise in the image with a noise peak elimination filter |
Remap | image=>image-handle, dither=>{true, false}, dither-method=>{Riemersma, Floyd-Steinberg} | replace the colors of an image with the closest color from a reference image. |
Resample | density=>geometry, x=>double, y=>double, filter=>{Point, Box, Triangle, Hermite, Hanning, Hamming, Blackman, Gaussian, Quadratic, Cubic, Catrom, Mitchell, Lanczos, Bessel, Sinc}, support=>double | resample image to desired resolution. Specify blur > 1 for blurry or < 1 for sharp |
Resize | geometry=>geometry, width=>integer, height=>integer, filter=>{Point, Box, Triangle, Hermite, Hanning, Hamming, Blackman, Gaussian, Quadratic, Cubic, Catrom, Mitchell, Lanczos, Bessel, Sinc}, support=>double, blur=>double | scale image to desired size. Specify blur > 1 for blurry or < 1 for sharp |
Roll | geometry=>geometry, x=>integer, y=>integer | roll an image vertically or horizontally |
Rotate | degrees=>double, background=>color name | rotate an image |
RotationalBlur | geometry=>geometry, angle=>double, bias=>double, channel=>{All, Default, Alpha, Black, Blue, CMYK, Cyan, Gray, Green, Index, Magenta, Alpha, Red, RGB, Yellow} | radial blur the image. |
Sample | geometry=>geometry, width=>integer, height=>integer | scale image with pixel sampling. |
Scale | geometry=>geometry, width=>integer, height=>integer | scale image to desired size |
Segment | colorspace=>{RGB, Gray, Transparent, OHTA, XYZ, YCbCr, YCC, YIQ, YPbPr, YUV, CMYK}, verbose={True, False}, cluster-threshold=>double, smoothing-threshold=double | segment an image by analyzing the histograms of the color components and identifying units that are homogeneous |
SelectiveBlur | geometry=>geometry, radius=>double, sigma=>double, threshold=>double, bias=>double, channel=>{All, Default, Alpha, Black, Blue, CMYK, Cyan, Gray, Green, Index, Magenta, Alpha, Red, RGB, Yellow} | selectively blur pixels within a contrast threshold. |
Separate | channel=>{Red, RGB, All, etc.} | separate a channel from the image into a grayscale image |
Shade | geometry=>geometry, azimuth=>double, elevation=>double, gray=>{true, false} | shade the image using a distant light source |
SetPixel | geometry=>geometry, channel=>{All, Default, Alpha, Black, Blue, CMYK, Cyan, Gray, Green, Index, Magenta, Alpha, Red, RGB, Yellow}, color=>array of float values, x=>integer, y=>integer, color=>array of float values | set the value a single pixel. Normalized pixel values are expected. |
SetPixels | geometry=>geometry, channel=>{All, Default, Alpha, Black, Blue, CMYK, Cyan, Gray, Green, Index, Magenta, Alpha, Red, RGB, Yellow}, color=>array of float values, width=>integer, height=>integer, x=>integer, y=>integer, color=>array of float values | set the value of one or more pixels. Normalized pixel values are expected. |
Shadow | geometry=>geometry, opacity=>double, sigma=>double, x=>integer, y=>integer | simulate an image shadow |
Sharpen | geometry=>geometry, radius=>double, sigma=>double, bias=>double, channel=>{All, Default, Alpha, Black, Blue, CMYK, Cyan, Gray, Green, Index, Magenta, Alpha, Red, RGB, Yellow} | sharpen the image with a Gaussian operator of the given radius and standard deviation (sigma). |
Shave | geometry=>geometry, width=>integer, height=>integer | shave pixels from the image edges |
Shear | geometry=>geometry, x=>double, y=>double fill=>color name | shear the image along the X or Y axis by a positive or negative shear angle |
SigmoidalContrast | geometry=>string, 'contrast'=>double, 'mid-point'=>double channel=>{Red, RGB, All, etc.}, sharpen=>{True, False} | sigmoidal non-lineraity contrast control. Increase the contrast of the image using a sigmoidal transfer function without saturating highlights or shadows. Contrast indicates how much to increase the contrast (0 is none; 3 is typical; 20 is a lot); mid-point indicates where midtones fall in the resultant image (0 is white; 50% is middle-gray; 100% is black). To decrease contrast, set sharpen to False. |
Signature | generate an SHA-256 message digest for the image pixel stream | |
Sketch | geometry=>geometry, radius=>double, sigma=>double, angle=>double | sketch the image with a Gaussian operator of the given radius and standard deviation (sigma) at the given angle |
Solarize | geometry=>string, threshold=>double, channel=>{All, Default, Alpha, Black, Blue, CMYK, Cyan, Gray, Green, Index, Magenta, Alpha, Red, RGB, Yellow} | negate all pixels above the threshold level |
SortPixels | sorts pixels within each scanline in ascending order of intensity. | |
SparseColor | points=>array of float values, method=>{Barycentric, Bilinear, Shepards, Voronoi}, 'virtual-pixel'=>{Background Black Constant Dither Edge Gray Mirror Random Tile Transparent White} | interpolate the image colors around the supplied points |
Splice | geometry=>geometry, width=>integer, height=>integer, x=>integer, y=>integer, fuzz=>double, background=>color name, gravity=>{NorthWest, North, NorthEast, West, Center, East, SouthWest, South, SouthEast} | splice an image |
Spread | radius=>double, interpolate=>{undefined, average, bicubic, bilinear, mesh, nearest-neighbor, spline} | displace image pixels by a random amount |
Statistic | geometry=>geometry, width=>integer, height=>integer, channel=>{All, Default, Alpha, Black, Blue, CMYK, Cyan, Gray, Green, Index, Magenta, Alpha, Red, RGB, Yellow}, type=>{Contrast, Median, Mode, Mean, Maximum, Minimum, ReduceNoise, RMS} | replace each pixel with corresponding statistic from the neighborhood. |
Stegano | image=>image-handle, offset=>integer | hide a digital watermark within the image |
Stereo | image=>image-handle, x=>integer, y=>integer | composites two images and produces a single image that is the composite of a left and right image of a stereo pair |
Strip | strip an image of all profiles and comments. | |
Swirl | degrees=>double, interpolate=>{undefined, average, bicubic, bilinear, mesh, nearest-neighbor, spline} | swirl image pixels about the center |
Texture | texture=>image-handle | name of texture to tile onto the image background |
Thumbnail | geometry=>geometry, width=>integer, height=>integer | changes the size of an image to the given dimensions and removes any associated profiles. |
Threshold | threshold=>string, channel=>{All, Default, Alpha, Black, Blue, CMYK, Cyan, Gray, Green, Index, Magenta, Alpha, Red, RGB, Yellow} | threshold the image |
Tint | fill=>color name, blend=>string | tint the image with the fill color. |
Transparent | color=>color name, invert=>{True, False} | make this color transparent within the image |
Transpose | flip image in the vertical direction and rotate 90 degrees | |
Transverse | flop image in the horizontal direction and rotate 270 degrees | |
Trim | remove edges that are the background color from the image | |
UnsharpMask | geometry=>geometry, radius=>double, sigma=>double, gain=>double, threshold=>double | sharpen the image with the unsharp mask algorithm. |
Vignette | geometry=>geometry, radius=>double, sigma=>double, x=>integer, y=>integer, background=>color name | offset the edges of the image in vignette style |
Wave | geometry=>geometry, amplitude=>double, wavelength=>double, interpolate=>{undefined, average, bicubic, bilinear, mesh, nearest-neighbor, spline} | alter an image along a sine wave |
WaveDenoise | geometry=>geometry, threshold=>double, threshold=>double | removes noise from the image using a wavelet transform |
WhiteBalance | applies white balancing to an image according to a grayworld assumption in the LAB colorspace. | |
WhiteThreshold | threshold=>string, , channel=>{All, Default, Alpha, Black, Blue, CMYK, Cyan, Gray, Green, Index, Magenta, Alpha, Red, RGB, Yellow} | force all pixels above the threshold intensity into white |
Note, that the geometry parameter is a short cut for the width and height parameters (e.g. geometry=>'106x80' is equivalent to width=>106, height=>80 ).
You can specify @filename in both Annotate() and Draw(). This reads the text or graphic primitive instructions from a file on disk. For example,
image->Draw(fill=>'red', primitive=>'rectangle', points=>'20,20 100,100 40,40 200,200 60,60 300,300');
Is equivalent to
$image->Draw(fill=>'red', primitive=>'@draw.txt');
Where draw.txt is a file on disk that contains this:
rectangle 20, 20 100, 100 rectangle 40, 40 200, 200 rectangle 60, 60 300, 300
The text parameter for methods, Annotate(), Comment(), Draw(), and Label() can include the image filename, type, width, height, or other image attribute by embedding these special format characters:
%b file size %c comment %d directory %e filename extension %f filename %g page geometry %h height %i input filename %k number of unique colors %l label %m magick %n number of scenes %o output filename %p page number %q quantum depth %r image class and colorspace %s scene number %t top of filename %u unique temporary filename %w width %x x resolution %y y resolution %z image depth %C image compression type %D image dispose method %H page height %Q image compression quality %T image delay %W page width %X page x offset %Y page y offset %@ bounding box %# signature %% a percent sign \n newline \r carriage return
For example,
text=>"%m:%f %wx%h"
produces an annotation of MIFF:bird.miff 512x480 for an image titled bird.miff and whose width is 512 and height is 480.
You can optionally add Image to any method name. For example, TrimImage() is an alias for method Trim().
Most of the attributes listed above have an analog in magick. See the documentation for a more detailed description of these attributes.
Set an Image Attribute
Use method Set() to set an image attribute. For example,
$image->Set(dither=>'True'); $image->[$x]->Set(delay=>3);
Where this example uses 'True' and this document says '{True, False}', you can use the case-insensitive strings 'True' and 'False', or you can use the integers 1 and 0.
When you call Get() on a Boolean attribute, Image::Magick returns 1 or 0, not a string.
And here is a list of all the image attributes you can set:
Attribute | Values | Description |
---|---|---|
adjoin | {True, False} | join images into a single multi-image file |
alpha | {On, Off, Opaque, Transparent, Copy, Extract, Set} | control of and special operations involving the alpha/matte channel |
antialias | {True, False} | remove pixel aliasing |
area-limit | integer | set pixel area resource limit. |
attenuate | double | lessen (or intensify) when adding noise to an image. |
authenticate | string | decrypt image with this password. |
background | color name | image background color |
blue-primary | x-value, y-value | chromaticity blue primary point (e.g. 0.15, 0.06) |
bordercolor | color name | set the image border color |
clip-mask | image | associate a clip mask with the image. |
colormap[i] | color name | color name (e.g. red) or hex value (e.g. #ccc) at position i |
comment | string | set the image comment |
compression | {None, BZip, Fax, Group4, JPEG, JPEG2000, LosslessJPEG, LZW, RLE, Zip} | type of image compression |
debug | {All, Annotate, Blob, Cache, Coder, Configure, Deprecate, Draw, Exception, Locale, None, Resource, Transform, X11} | display copious debugging information |
delay | integer | this many 1/100ths of a second must expire before displaying the next image in a sequence |
density | geometry | vertical and horizontal resolution in pixels of the image |
depth | integer | image depth |
direction | {Undefined, right-to-left, left-to-right | render text right-to-left or left-to-right |
disk-limit | integer | set disk resource limit |
dispose | {Undefined, None, Background, Previous} | layer disposal method |
dither | {True, False} | apply error diffusion to the image |
display | string | specifies the X server to contact |
extract | geometry | extract area from image |
file | filehandle | set the image filehandle |
filename | string | set the image filename |
fill | color | The fill color paints any areas inside the outline of drawn shape. |
font | string | use this font when annotating the image with text |
fuzz | integer | colors within this distance are considered equal |
gamma | double | gamma level of the image |
Gravity | {Forget, NorthWest, North, NorthEast, West, Center, East, SouthWest, South, SouthEast} | type of image gravity |
green-primary | x-value, y-value | chromaticity green primary point (e.g. 0.3, 0.6) |
index[x, y] | string | colormap index at position (x, y) |
interlace | {None, Line, Plane, Partition, JPEG, GIF, PNG} | the type of interlacing scheme |
iterations | integer | add Netscape loop extension to your GIF animation |
label | string | set the image label |
loop | integer | add Netscape loop extension to your GIF animation |
magick | string | set the image format |
map-limit | integer | set map resource limit |
mask | image | associate a mask with the image. |
matte | {True, False} | enable the image matte channel |
mattecolor | color name | set the image matte color |
memory-limit | integer | set memory resource limit |
monochrome | {True, False} | transform the image to black and white |
option | string | associate an option with an image format (e.g. option=>'ps:imagemask' |
orientation | {TopLeft, TopRight, BottomRight, BottomLeft, LeftTop, RightTop, RightBottom, LeftBottom} | image orientation |
page | { Letter, Tabloid, Ledger, Legal, Statement, Executive, A3, A4, A5, B4, B5, Folio, Quarto, 10x14} or geometry | preferred size and location of an image canvas |
pixel[x, y] | string | hex value (e.g. #ccc) at position (x, y) |
pointsize | integer | pointsize of the Postscript or TrueType font |
precision | integer | set the maximum number of significant digits to be printed |
quality | integer | JPEG/MIFF/PNG compression level |
red-primary | x-value, y-value | chromaticity red primary point (e.g. 0.64, 0.33) |
sampling-factor | geometry | horizontal and vertical sampling factor |
scene | integer | image scene number |
server | string | specifies the X server to contact |
size | string | width and height of a raw image |
stroke | color | The stroke color paints along the outline of a shape. |
texture | string | name of texture to tile onto the image background |
tile-offset | geometry | image tile offset |
time-limit | integer | set time resource limit in seconds |
title | string | set the image title |
type | {Bilevel, Grayscale, GrayscaleMatte, Palette, PaletteMatte, TrueColor, TrueColorMatte, ColorSeparation, ColorSeparationMatte} | image type |
units | { Undefined, PixelsPerInch, PixelsPerCentimeter} | units of image resolution |
verbose | {True, False} | print detailed information about the image |
virtual-pixel | {Background Black Constant Dither Edge Gray Mirror Random Tile Transparent White} | the virtual pixel method |
white-point | x-value, y-value | chromaticity white point (e.g. 0.3127, 0.329) |
Note, that the geometry parameter is a short cut for the width and height parameters (e.g. geometry=>'106x80' is equivalent to width=>106, height=>80).
SetAttribute() is an alias for method Set().
Most of the attributes listed above have an analog in magick. See the documentation for a more detailed description of these attributes.
Get an Image Attribute
Use method Get() to get an image attribute. For example,
($a, $b, $c) = $image->Get('colorspace', 'magick', 'adjoin'); $width = $image->[3]->Get('columns');
In addition to all the attributes listed in Set an Image Attribute , you can get these additional attributes:
Attribute | Values | Description |
---|---|---|
area | integer | current area resource consumed |
base-columns | integer | base image width (before transformations) |
base-filename | string | base image filename (before transformations) |
base-rows | integer | base image height (before transformations) |
class | {Direct, Pseudo} | image class |
colors | integer | number of unique colors in the image |
columns | integer | image width |
copyright | string | get PerlMagick's copyright |
directory | string | tile names from within an image montage |
elapsed-time | double | elapsed time in seconds since the image was created |
error | double | the mean error per pixel computed with methods Compare() or Quantize() |
bounding-box | string | image bounding box |
disk | integer | current disk resource consumed |
filesize | integer | number of bytes of the image on disk |
format | string | get the descriptive image format |
geometry | string | image geometry |
height | integer | the number of rows or height of an image |
icc | string | ICC profile |
icc | string | ICM profile |
id | integer | ImageMagick registry id |
IPTC | string | IPTC profile |
mean-error | double | the normalized mean error per pixel computed with methods Compare() or Quantize() |
map | integer | current memory-mapped resource consumed |
matte | {True, False} | whether or not the image has a matte channel |
maximum-error | double | the normalized max error per pixel computed with methods Compare() or Quantize() |
memory | integer | current memory resource consumed |
mime | string | MIME of the image format |
montage | geometry | tile size and offset within an image montage |
page.x | integer | x offset of image virtual canvas |
page.y | integer | y offset of image virtual canvas |
rows | integer | the number of rows or height of an image |
signature | string | SHA-256 message digest associated with the image pixel stream |
taint | {True, False} | True if the image has been modified |
total-ink-density | double | returns the total ink density for a CMYK image |
transparent-color | color name | set the image transparent color |
user-time | double | user time in seconds since the image was created |
version | string | get PerlMagick's version |
width | integer | the number of columns or width of an image |
XMP | string | XMP profile |
x-resolution | integer | x resolution of the image |
y-resolution | integer | y resolution of the image |
GetAttribute() is an alias for method Get().
Most of the attributes listed above have an analog in magick. See the documentation for a more detailed description of these attributes.
Compare an Image to its Reconstruction
Mathematically and visually annotate the difference between an image and its reconstruction with the Compare() method. The method supports these parameters:
Parameter | Values | Description |
---|---|---|
channel | double | select image channels, the default is all channels except alpha. |
fuzz | double | colors within this distance are considered equal |
image | image-reference | the image reconstruction |
metric | AE, MAE, MEPP, MSE, PAE, PSNR, RMSE | measure differences between images with this metric |
In this example, we compare the ImageMagick logo to a sharpened reconstruction:
use Image::Magick; $logo=Image::Magick->New(); $logo->Read('logo:'); $sharp=Image::Magick->New(); $sharp->Read('logo:'); $sharp->Sharpen('0x1'); $difference=$logo->Compare(image=>$sharp, metric=>'rmse'); print $difference->Get('error'), "\n"; $difference->Display();
In addition to the reported root mean squared error of around 0.024, a difference image is displayed so you can visually identify the difference between the images.
Create an Image Montage
Use method Montage() to create a composite image by combining several separate images. The images are tiled on the composite image with the name of the image optionally appearing just below the individual tile. For example,
$image->Montage(geometry=>'160x160', tile=>'2x2', texture=>'granite:');
And here is a list of Montage() parameters you can set:
Parameter | Values | Description |
---|---|---|
background | color name | background color name |
border | integer | image border width |
filename | string | name of montage image |
fill | color name | fill color for annotations |
font | string | X11 font name |
frame | geometry | surround the image with an ornamental border |
geometry | geometry | preferred tile and border size of each tile of the composite image (e.g. 120x120+4+3>) |
gravity | NorthWest, North, NorthEast, West, Center, East, SouthWest, South, SouthEast | direction image gravitates to within a tile |
label | string | assign a label to an image |
mode | Frame, Unframe, Concatenate | thumbnail framing options |
pointsize | integer | pointsize of the Postscript or TrueType font |
shadow | {True, False} | add a shadow beneath a tile to simulate depth |
stroke | color name | stroke color for annotations |
texture | string | name of texture to tile onto the image background |
tile | geometry | the number of tiles per row and page (e.g. 6x4) |
title | string | assign a title to the image montage |
transparent | string | make this color transparent within the image |
Note, that the geometry parameter is a short cut for the width and height parameters (e.g. geometry=>'106x80' is equivalent to width=>106, height=>80).
MontageImage() is an alias for method Montage().
Most of the attributes listed above have an analog in montage. See the documentation for a more detailed description of these attributes.
Working with Blobs
A blob contains data that directly represent a particular image format in memory instead of on disk. PerlMagick supports blobs in any of these image formats and provides methods to convert a blob to or from a particular image format.
Method | Parameters | Return Value | Description |
---|---|---|---|
ImageToBlob | any image attribute | an array of image data in the respective image format | convert an image or image sequence to an array of blobs |
BlobToImage | one or more blobs | the number of blobs converted to an image | convert one or more blobs to an image |
ImageToBlob() returns the image data in their respective formats. You can then print it, save it to an ODBC database, write it to a file, or pipe it to a display program:
@blobs = $image->ImageToBlob(); open(DISPLAY,"| display -") || die; binmode DISPLAY; print DISPLAY $blobs[0]; close DISPLAY;
Method BlobToImage() returns an image or image sequence converted from the supplied blob:
@blob=$db->GetImage(); $image=Image::Magick->new(magick=>'jpg'); $image->BlobToImage(@blob);
Direct-access to Image Pixels
Use these methods to obtain direct access to the image pixels:
Method | Parameters | Description |
---|---|---|
GetAuthenticPixels | geometry=>geometry, width=>integer, height=>integer, x=>integer, y=>integer | return authentic pixels as a C pointer |
GetVirtualPixels | geometry=>geometry, width=>integer, height=>integer, x=>integer, y=>integer | return virtual pixels as a const C pointer |
GetAuthenticIndexQueue | return colormap indexes or black pixels as a C pointer | |
GetVirtualIndexQueue | return colormap indexes or black pixels as a const C pointer | |
SyncAuthenticPixels | sync authentic pixels to pixel cache |
Miscellaneous Methods
The Append() method append a set of images. For example,
$p = $image->Append(stack=>{true,false});
appends all the images associated with object $image. By default, images are stacked left-to-right. Set stack to True to stack them top-to-bottom.
The Clone() method copies a set of images. For example,
$q = $p->Clone();
copies all the images from object $p to $q. You can use this method for single or multi-image sequences.
Coalesce() composites a set of images while respecting any page offsets and disposal methods. GIF, MIFF, and MNG animation sequences typically start with an image background and each subsequent image varies in size and offset. A new image sequence is returned with all images the same size as the first images virtual canvas and composited with the next image in the sequence.. For example,
$q = $p->Coalesce();
The ComplexImages() method performs complex mathematics on an image sequence. For example,
$p = $image->ComplexImages('conjugate');
The EvaluateImages() method applies an arithmetic, logical or relational expression to a set of images. For example,
$p = $image->EvaluateImages('mean');
averages all the images associated with object $image.
The Features() method returns features for each channel in the image in each of four directions (horizontal, vertical, left and right diagonals) for the specified distance. The features include the angular second momentum, contrast, correlation, sum of squares: variance, inverse difference moment, sum average, sum varience, sum entropy, entropy, difference variance, difference entropy, information measures of correlation 1, information measures of correlation 2, and maximum correlation coefficient. Values in RGB, CMYK, RGBA, or CMYKA order (depending on the image type).
@features = $image->Features(1);
The Flatten() method flattens a set of images and returns it. For example,
$p = $images->Flatten(background=>'none'); $p->Write('flatten.png');
The sequence of images is replaced by a single image created by composing each image after the first over the first image.
The Fx() method applies a mathematical expression to a set of images and returns the results. For example,
$p = $image->Fx(expression=>'(g+b)/2.0',channel=>'red'); $p->Write('fx.miff');
replaces the red channel with the average of the green and blue channels.
See FX, The Special Effects Image Operator for a detailed discussion of this method.
Histogram() returns the unique colors in the image and a count for each one. The returned values are an array of red, green, blue, opacity, and count values.
The Morph() method morphs a set of images. Both the image pixels and size are linearly interpolated to give the appearance of a meta-morphosis from one image to the next:
$p = $image->Morph(frames=>integer);
where frames is the number of in-between images to generate. The default is 1.
Mosaic() creates an mosaic from an image sequence.
Method Mogrify() is a single entry point for the image manipulation methods (Manipulate an Image). The parameters are the name of a method followed by any parameters the method may require. For example, these calls are equivalent:
$image->Crop('340x256+0+0'); $image->Mogrify('crop', '340x256+0+0');
Method MogrifyRegion() applies a transform to a region of the image. It is similar to Mogrify() but begins with the region geometry. For example, suppose you want to brighten a 100x100 region of your image at location (40, 50):
$image->MogrifyRegion('100x100+40+50', 'modulate', brightness=>50);
PerceptualHash() maps visually identical images to the same or similar hash-- useful in image retrieval, authentication, indexing, or copy detection as well as digital watermarking. For each channel and for the sRGB and the HCLp colorspaces, 7 hash values are returned For an sRGB images, for example, expect 42 perceptual hashes.
@phash = $image->PerceptualHash();
Ping() is a convenience method that returns information about an image without having to read the image into memory. It returns the width, height, file size in bytes, and the file format of the image. You can specify more than one filename but only one filehandle:
($width, $height, $size, $format) = $image->Ping('logo.png'); ($width, $height, $size, $format) = $image->Ping(file=>\*IMAGE); ($width, $height, $size, $format) = $image->Ping(blob=>$blob);
This a more efficient and less memory intensive way to query if an image exists and what its characteristics are.
Poly() builds a polynomial from the image sequence and the corresponding terms (coefficients and degree pairs):
$p = $image->Poly([0.5,1.0,0.25,2.0,1.0,1.0]);
PreviewImage() tiles 9 thumbnails of the specified image with an image processing operation applied at varying strengths. This may be helpful pin-pointing an appropriate parameter for a particular image processing operation. Choose from these operations: Rotate, Shear, Roll, Hue, Saturation, Brightness, Gamma, Spiff, Dull, Grayscale, Quantize, Despeckle, ReduceNoise, AddNoise, Sharpen, Blur, Threshold, EdgeDetect, Spread, Solarize, Shade, Raise, Segment, Swirl, Implode, Wave, OilPaint, CharcoalDrawing, JPEG. Here is an example:
$preview = $image->Preview('Gamma'); $preview->Display();
To have full control over text positioning you need font metric information. Use
($x_ppem, $y_ppem, $ascender, $descender, $width, $height, $max_advance) = $image->QueryFontMetrics(parameters);
Where parameters is any parameter of the Annotate method. The return values are:
- character width
- character height
- ascender
- descender
- text width
- text height
- maximum horizontal advance
- bounds: x1
- bounds: y1
- bounds: x2
- bounds: y2
- origin: x
- origin: y
Use QueryMultilineFontMetrics() to get the maximum text width and height for multiple lines of text.
Call QueryColor() with no parameters to return a list of known colors names or specify one or more color names to get these attributes: red, green, blue, and opacity value.
@colors = $image->QueryColor(); ($red, $green, $blue) = $image->QueryColor('cyan'); ($red, $green, $blue, $alpha) = $image->QueryColor('#716baeff');
QueryColorname() accepts a color value and returns its respective name or hex value;
$name = $image->QueryColorname('rgba(80,60,0,0)');
Call QueryFont() with no parameters to return a list of known fonts or specify one or more font names to get these attributes: font name, description, family, style, stretch, weight, encoding, foundry, format, metrics, and glyphs values.
@fonts = $image->QueryFont(); $weight = ($image->QueryFont('Helvetica'))[5];
Call QueryFormat() with no parameters to return a list of known image formats or specify one or more format names to get these attributes: adjoin, blob support, raw, decoder, encoder, description, and module.
@formats = $image->QueryFormat(); ($adjoin, $blob_support, $raw, $decoder, $encoder, $description, $module) = $image->QueryFormat('gif');
Call MagickToMime() with the image format name to get its MIME type such as images/tiff from tif.
$mime = $image->MagickToMime('tif');
Use RemoteCommand() to send a command to an already running display or animate application. The only parameter is the name of the image file to display or animate.
$image->RemoteCommand('image.jpg');
The Smush() method smushes a set of images together. For example,
$p = $image->Smush(stack=>{true,false},offset=>integer);
smushes together all the images associated with object $image. By default, images are smushed left-to-right. Set stack to True to smushed them top-to-bottom.
Statistics() returns the image statistics for each channel in the image. The returned values are an array of depth, minima, maxima, mean, standard deviation, kurtosis, skewness, and entropy values in RGB, CMYK, RGBA, or CMYKA order (depending on the image type).
@statistics = $image->Statistics();
Finally, the Transform() method accepts a fully-qualified geometry specification for cropping or resizing one or more images. For example,
$p = $image->Transform(crop=>'100x100+0+0');
You can optionally add Image to any method name above. For example, PingImage() is an alias for method Ping().
Handling Exceptions
All PerlMagick methods return an undefined string context upon success. If any problems occur, the error is returned as a string with an embedded numeric status code. A status code less than 400 is a warning. This means that the operation did not complete but was recoverable to some degree. A numeric code greater or equal to 400 is an error and indicates the operation failed completely. Here is how exceptions are returned for the different methods:
Methods which return a number (e.g. Read(), Write()):
$x = $image->Read(...); warn "$x" if "$x"; # print the error message $x =~ /(\d+)/; print $1; # print the error number print 0+$x; # print the number of images read
Methods which operate on an image (e.g. Resize(), Crop()):
$x = $image->Crop(...); warn "$x" if "$x"; # print the error message $x =~ /(\d+)/; print $1; # print the error number
Methods which return images (EvaluateSequence(), Montage(), Clone()) should be checked for errors this way:
$x = $image->Montage(...); warn "$x" if !ref($x); # print the error message $x =~ /(\d+)/; print $1; # print the error number
Here is an example error message:
Error 400: Memory allocation failed
Review the complete list of error and warning codes.
The following illustrates how you can use a numeric status code:
$x = $image->Read('rose.png'); $x =~ /(\d+)/; die "unable to continue" if ($1 == ResourceLimitError);
Constants
PerlMagick includes these constants:
BlobError BlobWarning CacheError CacheWarning CoderError CoderWarning ConfigureError ConfigureWarning CorruptImageError CorruptImageWarning DelegateError DelegateWarning DrawError DrawWarning ErrorException FatalErrorException FileOpenError FileOpenWarning ImageError ImageWarning MissingDelegateError MissingDelegateWarning ModuleError ModuleWarning Opaque OptionError OptionWarning QuantumDepth QuantumRange RegistryError RegistryWarning ResourceLimitError ResourceLimitWarning StreamError StreamWarning Success Transparent TypeError TypeWarning WarningException XServerError XServerWarning
You can access them like this:
Image::Magick->QuantumDepth