Magick++ STL Support

Magick++ uses a limited set of template argument types. The current template argument types are:

Container

A container having the properties of a Back Insertion Sequence . Sequences support forward iterators and Back Insertion Sequences support the additional abilty to append an element via push_back(). Common compatable container types are the STL < vector > and <list > template containers. This template argument is usually used to represent an output container in which one or more image frames may be appended. Containers like STL <vector > which have a given default capacity may need to have their capacity adjusted via reserve() to a larger capacity in order to support the expected final size . Since Magick++ images are very small, it is likely that the default capacity of STL < vector > is sufficient for most situations.

InputIterator

An input iterator used to express a position in a container. These template arguments are typically used to represent a range of elements with first_ representing the first element to be processed and last_ representing the element to stop at. When processing the entire contents of a container, it is handy to know that STL containers usually provide the begin() and end() methods to return input interators which correspond with the first and last elements, respectively.

#include <list>
#include <Magick++.h>
using namespace std;
using namespace Magick;

int main(int /*argc*/,char **/*argv*/)
{
   list<Image> imageList;
   readImages( &imageList, "test_image_anim.gif" );

   Image appended;
   appendImages( &appended, imageList.begin(), imageList.end() );
   appended.write( "appended_image.miff" );
   return 0;
}

The available Magick++ specific STL algorithms for operating on sequences of image frames are shown in the following table:
 

Magick++ STL Algorithms For Image Sequences

Algorithm	Signature	Description
animateImages	InputIterator first_, InputIterator last_	Animate a sequence of image frames. Image frames are displayed in succession, creating an animated effect. The animation options are taken from the first image frame. This feature is only supported under X11 at the moment.
appendImages	Image *appendedImage_, InputIterator first_, InputIterator last_, bool stack_ = false	Append a sequence of image frames, writing the result to appendedImage_. All the input image frames must have the same width or height. Image frames of the same width are stacked top-to-bottom. Image frames of the same height are stacked left-to-right. If the stack_ parameter is false, rectangular image frames are stacked left-to-right otherwise top-to-bottom.
averageImages	Image *averagedImage_, InputIterator first_, InputIterator last_	Average a sequence of image frames, writing the result to averagedImage_. All the input image frames must be the same size in pixels.
coalesceImages	Container *coalescedImages_, InputIterator first_, InputIterator last_	Create a coalesced image sequence obtained by "playing" the image sequence (observing page offsets and disposal methods) to create a new image sequence in which all frames are full size and completely rendered. Note that if the original image sequence relied on page offsets and disposal methods that the resulting sequence will be larger (perhaps much larger) then the original. This is useful for GIF animation sequences that have page offsets and disposal methods. The resuting image sequence is returned via coalescedImages_.
deconstructImages	Container *deconstructedImages_, InputIterator first_, InputIterator last_	Break down an image sequence into constituent parts.  This is useful for creating GIF or MNG animation sequences. The input sequence is specified by first_ and last_, and the deconstruted images are returned via deconstructedImages_.
displayImages	InputIterator first_, InputIterator last_	Display a sequence of image frames. Through use of a pop-up menu, image frames may be selected in succession. This feature is fully supported under X11 but may have only limited support in other environments. Caution: if an image format is is not compatable with the display visual (e.g. JPEG on a colormapped display) then the original image will be altered. Use a copy of the original if this is a problem.
flattenImages	Image *flattendImage_, InputIterator first_, InputIterator last_	Merge a sequence of image frames which represent image layers into a single composited representation. The flattendImage_ parameter points to an existing Image to update with the flattened image. This function is useful for combining Photoshop layers into a single image.
mapImages	InputIterator first_, InputIterator last_, const Image & mapImage_, bool dither_,  bool measureError_ = false	Replace the colors of a sequence of images with the closest color from a reference image. Set dither_ to true to enable dithering.  Set measureError_ to true in order to evaluate quantization error.
montageImages	Container *montageImages_, InputIterator first_, InputIterator last_, const Montage &montageOpts_	Create a composite image by combining several separate image frames. Multiple frames may be generated in the output container montageImages_ depending on the tile setting and the number of image frames montaged. Montage options are provided via the parameter montageOpts_ . Options set in the first image frame ( backgroundColor, borderColor , matteColor , penColor, font, and fontPointsize ) are also used as options by montageImages().
morphImages	Container *morphedImages_, InputIterator first_, InputIterator last_, size_t frames_	Morph a seqence of image frames. This algorithm  expands the number of image frames (output to the container morphedImages_) by adding the number of intervening frames specified by frames_ such that the original frames morph (blend) into each other when played as an animation.
mosaicImages	Image *mosaicImage_, InputIterator first_, InputIterator last_	Inlay a number of images to form a single coherent picture. The mosicImage_ argument is updated with a mosaic constructed from the image sequence represented by first_ through last_ .
readImages	Container *sequence_, const std::string &imageSpec_	Read a sequence of image frames into existing container (appending to container sequence_) with image names specified in the string imageSpec_.
	Container *sequence_, const Blob &blob_	Read a sequence of image frames into existing container (appending to container sequence_) from Blob blob_.
writeImages	InputIterator first_, InputIterator last_, const std::string &imageSpec_, bool adjoin_ = true	Write images in container to file specified by string imageSpec_. Set adjoin_ to false to write a set of image frames via a wildcard imageSpec_ (e.g. image%02d.miff). The wildcard must be one of %0Nd, %0No, or %0Nx. Caution: if an image format is selected which is capable of supporting fewer colors than the original image or quantization has been requested, the original image will be quantized to fewer colors. Use a copy of the original if this is a problem.
	InputIterator first_, InputIterator last_, Blob *blob_, bool adjoin_ = true	Write images in container to in-memory BLOB specified by Blob blob_. Set adjoin_ to false to write a set of image frames via a wildcard imageSpec_ (e.g. image%02d.miff). Caution: if an image format is selected which is capable of supporting fewer colors than the original image or quantization has been requested, the original image will be quantized to fewer colors. Use a copy of the original if this is a problem.
quantizeImages	InputIterator first_, InputIterator last_, bool measureError_ = false	Quantize colors in images using current quantization settings. Set measureError_ to true in order to measure quantization error.

 

unary_function<Arg, Result>

Result operator()( Arg argument_ );

void operator()( Image &image_);

void operator()( Image &image_ )
  {
    image_.contrast( _sharpen );
  }

In essence, unary function objects (as provided by Magick++) simply provide the means to construct an object which caches arguments for later use by an algorithm designed for use with unary function objects. There is a unary function object corresponding each algorithm provided by the Image class and there is a contructor available compatable with each synonymous method in the Image class.

The unary function objects that Magick++ provides to support manipulating images are shown in the following table:
 

Magick++ Unary Function Objects For Image Manipulation

Function Object	Constructor Signatures(s)	Description
adaptiveThresholdImage	size_t width, unsigned int height, unsigned offset = 0	Apply adaptive thresholding to the image. Adaptive thresholding is useful if the ideal threshold level is not known in advance, or if the illumination gradient is not constant across the image. Adaptive thresholding works by evaulating the mean (average) of a pixel region (size specified by width and height) and using the mean as the thresholding value. In order to remove residual noise from the background, the threshold may be adjusted by subtracting a constant offset (default zero) from the mean to compute the threshold.
addNoiseImage	NoiseType noiseType_	Add noise to image with specified noise type.
affineTransformImage	const DrawableAffine &affine_	Transform image by specified affine (or free transform) matrix.
annotateImage	const std::string &text_, const Geometry &location_	Annotate with text using specified text, bounding area, placement gravity, and rotation. If boundingArea_ is invalid, then bounding area is entire image.
	std::string text_, const Geometry &boundingArea_, GravityType gravity_	Annotate using specified text, bounding area, and placement gravity. If boundingArea_ is invalid, then bounding area is entire image.
	const std::string &text_, const Geometry &boundingArea_, GravityType gravity_, double degrees_,	Annotate with text using specified text, bounding area, placement gravity, and rotation. If boundingArea_ is invalid, then bounding area is entire image.
	const std::string &text_, GravityType gravity_	Annotate with text (bounding area is entire image) and placement gravity.
blurImage	const double radius_ = 1, const double sigma_ = 0.5	Blur image. The radius_ parameter specifies the radius of the Gaussian, in pixels, not counting the center pixel.  The sigma_ parameter specifies the standard deviation of the Laplacian, in pixels.
borderImage	const Geometry &geometry_ = "6x6+0+0"	Border image (add border to image).  The color of the border is specified by the borderColor attribute.
charcoalImage	const double radius_ = 1, const double sigma_ = 0.5	Charcoal effect image (looks like charcoal sketch). The radius_ parameter specifies the radius of the Gaussian, in pixels, not counting the center pixel.  The sigma_ parameter specifies the standard deviation of the Laplacian, in pixels.
chopImage	const Geometry &geometry_	Chop image (remove vertical or horizontal subregion of image)
colorizeImage	const size_t opacityRed_, const size_t opacityGreen_, const size_t opacityBlue_, const Color &penColor_	Colorize image with pen color, using specified percent opacity for red, green, and blue quantums.
	const size_t opacity_, const Color &penColor_	Colorize image with pen color, using specified percent opacity.
commentImage	const std::string &comment_	Comment image (add comment string to image).  By default, each image is commented with its file name. Use  this  method to  assign a specific comment to the image.  Optionally you can include the image filename, type, width, height, or other  image  attributes by embedding special format characters.
compositeImage	const Image &compositeImage_, ssize_t xOffset_, ssize_t yOffset_, CompositeOperator compose_ = InCompositeOp	Compose an image onto another at specified offset and using specified algorithm
	const Image &compositeImage_, const Geometry &offset_, CompositeOperator compose_ = InCompositeOp
condenseImage	void	Condense image (Re-run-length encode image in memory).
contrastImage	size_t sharpen_	Contrast image (enhance intensity differences in image)
cropImage	const Geometry &geometry_	Crop image (subregion of original image)
cycleColormap- Image	int amount_	Cycle image colormap
despeckleImage	void	Despeckle image (reduce speckle noise)
drawImage	const Drawable &drawable_	Draw shape or text on image.
	const std::list<Drawable > &drawable_	Draw shapes or text on image using a set of Drawable objects contained in an STL list. Use of this method improves drawing performance and allows batching draw objects together in a list for repeated use.
edgeImage	size_t radius_ = 0.0	Edge image (hilight edges in image).  The radius is the radius of the pixel neighborhood.. Specify a radius of zero for automatic radius selection.
embossImage	const double radius_ = 1, const double sigma_ = 0.5	Emboss image (hilight edges with 3D effect). The radius_ parameter specifies the radius of the Gaussian, in pixels, not counting the center pixel.  The sigma_ parameter specifies the standard deviation of the Laplacian, in pixels.
enhanceImage	void	Enhance image (minimize noise)
equalizeImage	void	Equalize image (histogram equalization)
flipImage	void	Flip image (reflect each scanline in the vertical direction)
floodFill- ColorImage	size_t x_, size_t y_, const Color &fillColor_	Flood-fill color across pixels that match the color of the target pixel and are neighbors of the target pixel. Uses current fuzz setting when determining color match.
	const Geometry &point_, const Color &fillColor_
	size_t x_, size_t y_, const Color &fillColor_, const Color &borderColor_	Flood-fill color across pixels starting at target-pixel and stopping at pixels matching specified border color. Uses current fuzz setting when determining color match.
	const Geometry &point_, const Color &fillColor_, const Color &borderColor_
floodFill- TextureImage	size_t x_, size_t y_,  const Image &texture_	Flood-fill texture across pixels that match the color of the target pixel and are neighbors of the target pixel. Uses current fuzz setting when determining color match.
	const Geometry &point_, const Image &texture_
	size_t x_, size_t y_, const Image &texture_, const Color &borderColor_	Flood-fill texture across pixels starting at target-pixel and stopping at pixels matching specified border color. Uses current fuzz setting when determining color match.
	const Geometry &point_, const Image &texture_, const Color &borderColor_
flopImage	void	Flop image (reflect each scanline in the horizontal direction)
frameImage	const Geometry &geometry_ = "25x25+6+6"	Add decorative frame around image
	size_t width_, size_t height_, int x_, ssize_t y_, ssize_t innerBevel_ = 0, ssize_t outerBevel_ = 0
gammaImage	double gamma_	Gamma correct image (uniform red, green, and blue correction).
	double gammaRed_, double gammaGreen_, double gammaBlue_	Gamma correct red, green, and blue channels of image.
gaussianBlurImage	double width_, double sigma_	Gaussian blur image. The number of neighbor pixels to be included in the convolution mask is specified by 'width_'.  For example, a width of one gives a (standard) 3x3 convolution mask. The standard deviation of the gaussian bell curve is specified by 'sigma_'.
implodeImage	double factor_	Implode image (special effect)
inverseFourierTransformImage	const Image &phaseImage_, const bool magnitude_	implements the inverse discrete Fourier transform (DFT) of the image either as a magnitude / phase or real / imaginary image pair.
labelImage	const string &label_	Assign a label to an image. Use this option to  assign  a  specific label to the image. Optionally you can include the image filename, type, width, height, or scene number in the label by embedding  special format characters. If the first character of string is @, the image label is read from a file titled by the remaining characters in the string. When converting to Postscript, use this  option to specify a header string to print above the image.
levelImage	const double black_point, const double white_point, const double mid_point=1.0	Level image. Adjust the levels of the image by scaling the colors falling between specified white and black points to the full available quantum range. The parameters provided represent the black, mid (gamma), and white points.  The black point specifies the darkest color in the image. Colors darker than the black point are set to zero. Mid point (gamma) specifies a gamma correction to apply to the image. White point specifies the lightest color in the image.  Colors brighter than the white point are set to the maximum quantum value. The black and white point have the valid range 0 to QuantumRange while mid (gamma) has a useful range of 0 to ten.
levelChannelImage	const Magick::ChannelType channel, const double black_point, const double white_point, const double mid_point=1.0	Level image channel. Adjust the levels of the image channel by scaling the values falling between specified white and black points to the full available quantum range. The parameters provided represent the black, mid (gamma), and white points. The black point specifies the darkest color in the image. Colors darker than the black point are set to zero. Mid point (gamma) specifies a gamma correction to apply to the image. White point specifies the lightest color in the image. Colors brighter than the white point are set to the maximum quantum value. The black and white point have the valid range 0 to QuantumRange while mid (gamma) has a useful range of 0 to ten.
layerImage	ChannelType layer_	Extract layer from image. Use this option to extract a particular layer from  the image.  MatteLayer,  for  example, is useful for extracting the opacity values from an image.
magnifyImage	void	Magnify image by integral size
mapImage	const Image &mapImage_ , bool dither_ = false	Remap image colors with closest color from reference image. Set dither_ to true in to apply Floyd/Steinberg error diffusion to the image. By default, color reduction chooses an optimal  set  of colors that best represent the original image. Alternatively, you can  choose  a  particular  set  of colors  from  an image file with this option.
matteFloodfill- Image	const Color &target_, size_t matte_, ssize_t x_, ssize_t y_, PaintMethod method_	Floodfill designated area with a matte value
medianFilterImage	const double radius_ = 0.0	Filter image by replacing each pixel component with the median color in a circular neighborhood
minifyImage	void	Reduce image by integral size
modulateImage	double brightness_, double saturation_, double hue_	Modulate percent hue, saturation, and brightness of an image. Modulation of saturation and brightness is as a ratio of the current value (1.0 for no change). Modulation of hue is an absolute rotation of -180 degrees to +180 degrees from the current position corresponding to an argument range of 0 to 2.0 (1.0 for no change).
negateImage	bool grayscale_ = false	Negate colors in image.  Replace every pixel with its complementary color (white becomes black, yellow becomes blue, etc.).  Set grayscale to only negate grayscale values in image.
normalizeImage	void	Normalize image (increase contrast by normalizing the pixel values to span the full range of color values).
oilPaintImage	size_t radius_ = 3	Oilpaint image (image looks like oil painting)
opacityImage	size_t opacity_	Set or attenuate the opacity channel in the image. If the image pixels are opaque then they are set to the specified opacity value, otherwise they are blended with the supplied opacity value.  The value of opacity_ ranges from 0 (completely opaque) to QuantumRange. The defines OpaqueOpacity and TransparentOpacity are available to specify completely opaque or completely transparent, respectively.
opaqueImage	const Color &opaqueColor_, const Color &penColor_	Change color of pixels matching opaqueColor_ to specified penColor_.
quantizeImage	bool measureError_ = false	Quantize image (reduce number of colors). Set measureError_ to true in order to calculate error attributes.
raiseImage	const Geometry &geometry_ = "6x6+0+0",  bool raisedFlag_ =  false	Raise image (lighten or darken the edges of an image to give a 3-D raised or lowered effect)
reduceNoise- Image	void	Reduce noise in image using a noise peak elimination filter.
	size_t order_
rollImage	int columns_, ssize_t rows_	Roll image (rolls image vertically and horizontally) by specified number of columnms and rows)
rotateImage	double degrees_	Rotate image counter-clockwise by specified number of degrees
sampleImage	const Geometry &geometry_	Resize image by using pixel sampling algorithm
scaleImage	const Geometry &geometry_	Resize image by using simple ratio algorithm
segmentImage	double clusterThreshold_ = 1.0, double smoothingThreshold_ = 1.5	Segment (coalesce similar image components) by analyzing the histograms of the color components and identifying units that are homogeneous with the fuzzy c-means technique. Also uses quantizeColorSpace and verbose image attributes. Specify clusterThreshold_ , as the number  of  pixels  each cluster  must exceed the cluster threshold to be considered valid. SmoothingThreshold_ eliminates noise in the  second derivative of the histogram. As the value is  increased, you can  expect  a  smoother second derivative.  The default is 1.5.
shadeImage	double azimuth_ = 30, double elevation_ = 30, bool colorShading_ = false	Shade image using distant light source. Specify azimuth_ and elevation_ as the  position  of  the light source. By default, the shading results as a grayscale image.. Set colorShading_ to true to shade the red, green, and blue components of the image.
sharpenImage	const double radius_ = 1, const double sigma_ = 0.5	Sharpen pixels in image. The radius_ parameter specifies the radius of the Gaussian, in pixels, not counting the center pixel.  The sigma_ parameter specifies the standard deviation of the Laplacian, in pixels.
shaveImage	const Geometry &geometry_	Shave pixels from image edges.
shearImage	double xShearAngle_, double yShearAngle_	Shear image (create parallelogram by sliding image by X or Y axis).  Shearing slides one edge of an image along the X  or  Y axis,  creating  a parallelogram.  An X direction shear slides an edge along the X axis, while  a  Y  direction shear  slides  an edge along the Y axis.  The amount of the shear is controlled by a shear angle.  For X direction  shears,  x  degrees is measured relative to the Y axis, and similarly, for Y direction shears  y  degrees is measured relative to the X axis. Empty triangles left over from shearing the  image  are filled  with  the  color  defined as borderColor.
solarizeImage	double factor_	Solarize image (similar to effect seen when exposing a photographic film to light during the development process)
spreadImage	size_t amount_ = 3	Spread pixels randomly within image by specified amount
steganoImage	const Image &watermark_	Add a digital watermark to the image (based on second image)
stereoImage	const Image &rightImage_	Create an image which appears in stereo when viewed with red-blue glasses (Red image on left, blue on right)
swirlImage	double degrees_	Swirl image (image pixels are rotated by degrees)
textureImage	const Image &texture_	Layer a texture on image background
thresholdImage	double threshold_	Threshold image
transformImage	const Geometry &imageGeometry_	Transform image based on image and crop geometries. Crop geometry is optional.
	const Geometry &imageGeometry_, const Geometry &cropGeometry_
transparentImage	const Color &color_	Add matte image to image, setting pixels matching color to transparent.
trimImage	void	Trim edges that are the background color from the image.
waveImage	double amplitude_ = 25.0, double wavelength_ = 150.0	Alter an image along a sine wave.
zoomImage	const Geometry &geometry_	Zoom image to specified size.

Function objects are available to set attributes on image frames which are equivalent to methods in the Image object. These function objects allow setting an option across a range of image frames using f or_each().

The following code is an example of how the color 'red' may be set to transparent in a GIF animation:

list<image> images;
readImages( &images, "animation.gif" );
for_each ( images.begin(), images.end(), transparentImage( "red" )  );
writeImages( images.begin(), images.end(), "animation.gif" );

The available function objects for setting image attributes are
 

Image Attributes

Attribute	Type	Constructor Signature(s)	Description
adjoinImage	bool	bool flag_	Join images into a single multi-image file.
antiAliasImage	bool	bool flag_	Control antialiasing of rendered Postscript and Postscript or TrueType fonts. Enabled by default.
animation- DelayImage	size_t (0 to 65535)	size_t delay_	Time in 1/100ths of a second (0 to 65535) which must expire before displaying the next image in an animated sequence. This option is useful for regulating the animation of a sequence  of GIF images within Netscape.
animation- IterationsImage	size_t	size_t iterations_	Number of iterations to loop an animation (e.g. Netscape loop extension) for.
background- ColorImage	Color	const Color &color_	Image background color
background- TextureImage	std::string	const string &texture_	Image to use as background texture.
borderColor- Image	Color	const Color &color_	Image border color
boxColorImage	Color	const Color &boxColor_	Base color that annotation text is rendered on.
chroma- BluePrimaryImage	double x & y	double x_, double y_	Chromaticity blue primary point (e.g. x=0.15, y=0.06)
chroma- GreenPrimaryImage	double x & y	double x_, double y_	Chromaticity green primary point (e.g. x=0.3, y=0.6)
chroma- RedPrimaryImage	double x & y	double x_, double y_	Chromaticity red primary point (e.g. x=0.64, y=0.33)
chroma- WhitePointImage	double x & y	double x_, double y_	Chromaticity white point (e.g. x=0.3127, y=0.329)
colorFuzzImage	double	double fuzz_	Colors within this distance are considered equal. A number of algorithms search for a target  color. By default the color must be exact. Use this option to match colors that are close to the target color in RGB space.
colorMapImage	Color	size_t index_, const Color &color_	Color at color-pallet index.
colorSpaceImage	ColorspaceType	ColorspaceType colorSpace_	The colorspace (e.g. CMYK) used to represent the image pixel colors. Image pixels are always stored as RGB(A) except for the case of CMY(K).
composeImage	CompositeOperator	CompositeOperator compose_	Composition operator to be used when composition is implicitly used (such as for image flattening).
compressType- Image	CompressionType	CompressionType compressType_	Image compresion type. The default is the compression type of the specified image file.
densityImage	Geometry   (default 72x72)	const Geometry &density_	Vertical and horizontal resolution in pixels of the image. This option specifies an image density when decoding a Postscript or Portable Document page. Often used with psPageSize.
depthImage	size_t (8 or 16)	size_t depth_	Image depth. Used to specify the bit depth when reading or writing  raw images or thwn the output format supports multiple depths. Defaults to the quantum depth that ImageMagick is compiled with.
endianImage	EndianType	EndianType endian_	Specify (or obtain) endian option for formats which support it.
fileNameImage	std::string	const std::string &fileName_	Image file name.
fillColorImage	Color	const Color &fillColor_	Color to use when filling drawn objects
filterTypeImage	FilterTypes	FilterTypes filterType_	Filter to use when resizing image. The reduction filter employed has a sigificant effect on the time required to resize an image and the resulting quality. The default filter is Lanczos which has been shown to produce good results when reducing images.
fontImage	std::string	const std::string &font_	Text rendering font. If the font is a fully qualified X server font name, the font is obtained from an X  server. To use a TrueType font, precede the TrueType filename with an @. Otherwise, specify  a  Postscript font name (e.g. "helvetica").
fontPointsize- Image	size_t	size_t pointSize_	Text rendering font point size
gifDispose- MethodImage	size_t { 0 = Disposal not specified, 1 = Do not dispose of graphic, 3 = Overwrite graphic with background color, 4 = Overwrite graphic with previous graphic. }	size_t disposeMethod_	layer disposal method. This option is used to control how successive frames are rendered (how the preceding frame is disposed of) when creating a GIF animation.
interlace- TypeImage	InterlaceType	InterlaceType interlace_	The type of interlacing scheme (default NoInterlace ). This option is used to specify the type of  interlacing scheme  for  raw  image formats such as RGB or YUV. NoInterlace means do not  interlace, LineInterlace uses scanline interlacing, and PlaneInterlace uses plane interlacing. PartitionInterlace is like PlaneInterlace except the  different planes  are saved  to individual files (e.g.  image.R, image.G, and image.B). Use LineInterlace or PlaneInterlace to create an interlaced GIF or progressive JPEG image.
isValidImage	bool	bool isValid_	Set image validity. Valid images become empty (inValid) if argument is false.
labelImage	std::string	const std::string &label_	Image label
lineWidthImage	double	double lineWidth_	Line width for drawing lines, circles, ellipses, etc. See Drawable .
magickImage	std::string	const std::string &magick_	Get image format (e.g. "GIF")
matteImage	bool	bool matteFlag_	True if the image has transparency. If set True, store matte channel if  the image has one otherwise create an opaque one.
matteColorImage	Color	const Color &matteColor_	Image matte (frame) color
monochrome- Image	bool	bool flag_	Transform the image to black and white
pageImage	Geometry	const Geometry &pageSize_	Preferred size and location of an image canvas. Use this option to specify the dimensions and position of the Postscript page in dots per inch or a TEXT page in pixels. This option is typically used in concert with density . Page may also be used to position a GIF image (such as for a scene in an animation)
penColorImage	Color	const Color &penColor_	Pen color to use when annotating on or drawing on image.
penTextureImage	Image	const Image & penTexture_	Texture image to paint with (similar to penColor).
pixelColorImage	Color	size_t x_, size_t y_, const Color &color_	Get/set pixel color at location x & y.
psPageSizeImage	Geometry	const Geometry &pageSize_	Postscript page size. Use this  option to specify the dimensions  of the Postscript page in dots per inch or a TEXT page in pixels. This option is typically used in concert with density.
qualityImage	size_t (0 to 100)	size_t quality_	JPEG/MIFF/PNG compression level (default 75).
quantize- ColorsImage	size_t	size_t colors_	Preferred number of colors in the image. The actual number of colors in the image may be less than your request, but never more. Images with less unique colors than specified with this option will have any duplicate or unused colors removed.
quantize- ColorSpaceImage	ColorspaceType	ColorspaceType colorSpace_	Colorspace to quantize colors in (default RGB). Empirical evidence suggests that distances in color spaces such as YUV or YIQ correspond to perceptual color differences more closely than do distances in RGB space. These color spaces may give better results when color reducing an image.
quantize- DitherImage	bool	bool flag_	Apply Floyd/Steinberg error diffusion to the image. The basic strategy of dithering is to  trade  intensity resolution  for  spatial  resolution  by  averaging the intensities  of  several  neighboring  pixels. Images which  suffer  from  severe  contouring  when  reducing colors can be improved with this option. The quantizeColors or monochrome option must be set for this option to take effect.
quantize- TreeDepthImage	size_t (0 to 8)	size_t treeDepth_	Depth of the quantization color classification tree. Values of 0 or 1 allow selection of the optimal tree depth for the color reduction algorithm. Values between 2 and 8 may be used to manually adjust the tree depth.
rendering- IntentImage	RenderingIntent	RenderingIntent render_	The type of rendering intent
resolution- UnitsImage	ResolutionType	ResolutionType units_	Units of image resolution
sceneImage	size_t	size_t scene_	Image scene number
sizeImage	Geometry	const Geometry &geometry_	Width and height of a raw image (an image which does not support width and height information).  Size may also be used to affect the image size read from a multi-resolution format (e.g. Photo CD, JBIG, or JPEG.
strokeColorImage	Color	const Color &strokeColor_	Color to use when drawing object outlines
subImageImage	size_t	size_t subImage_	Subimage of an image sequence
subRangeImage	size_t	size_t subRange_	Number of images relative to the base image
tileNameImage	std::string	const std::string &tileName_	Tile name
typeImage	ImageType	ImageType type_	Image storage type.
verboseImage	bool	bool verboseFlag_	Print detailed information about the image
viewImage	std::string	const std::string &view_	FlashPix viewing parameters.
x11DisplayImage	std::string (e.g. "hostname:0.0")	const std::string &display_	X11 display to display to, obtain fonts from, or to capture image from

 

The definition of coderInfoList is:

  class CoderInfo
  {
  public:

    enum MatchType {
      AnyMatch,  // match any coder
      TrueMatch, // match coder if true
      FalseMatch // match coder if false
    };

    [ remaining CoderInfo methods ]

   }

  template <class Container >
  void coderInfoList( Container *container_,
                      CoderInfo::MatchType isReadable_   = CoderInfo::AnyMatch,
                      CoderInfo::MatchType isWritable_   = CoderInfo::AnyMatch,
                      CoderInfo::MatchType isMultiFrame_ = CoderInfo::AnyMatch
                      );

The following example shows how to retrieve a list of all of the coders which support reading images and print the coder attributes (all listed formats will be readable):

  list<CoderInfo> coderList;
  coderInfoList( &coderList,           // Reference to output list
                 CoderInfo::TrueMatch, // Match readable formats
                 CoderInfo::AnyMatch,  // Don't care about writable formats
                 CoderInfo::AnyMatch); // Don't care about multi-frame support
  list<CoderInfo>::iterator entry = coderList.begin();
  while( entry != coderList.end() )
  {
    cout << entry->name() << ": (" << entry->description() << ") : ";
    cout << "Readable = ";
    if ( entry->isReadable() )
      cout << "true";
    else
      cout << "false";
    cout << ", ";
    cout << "Writable = ";
    if ( entry->isWritable() )
      cout << "true";
    else
      cout << "false";
    cout << ", ";
    cout << "Multiframe = ";
    if ( entry->isMultiframe() )
      cout << "true";
    else
      cout << "false";
    cout << endl;
    entry ++;
   } 

Obtaining A Color Histogram 

 Magick++ provides the colorHistogram template function to retrieve a color histogram from an image. A color histogram provides a count of how many times each color occurs in the image. The histogram is written into a user-provided container, which (for example) could be a <vector> or a <map>.  When a <map> is used, the Color is used as the key so that quick lookups of usage counts for colors may be performed. Writing into a <map> may be slower than writing into a <vector> since the <map> sorts the entries (by color intensity) and checks for uniqueness. Each histogram entry is contained in type std::pair<Magick::Color,unsigned long> with the first member of the pair being a Color, and the second member of the pair being an 'unsigned long'. Use the <pair> "first" member to access the Color and the "second" member to access the number of times the color occurs in the image.

The template function declaration is as follows:

  template <class Container >
  void colorHistogram( Container *histogram_, const Image image)

The following examples illustrate using both a <map> and a <vector> to retrieve the color histogram, and print out a formatted summary.

Using <map>:
   
  Image image("image.miff");
  map<Color,unsigned long> histogram;
  colorHistogram( &histogram, image );
  std::map<Color,unsigned long>::const_iterator p=histogram.begin();
  while (p != histogram.end())
    {
      cout << setw(10) << (int)p->second << ": ("
           << setw(quantum_width) << (int)p->first.redQuantum() << ","
           << setw(quantum_width) << (int)p->first.greenQuantum() << ","
           << setw(quantum_width) << (int)p->first.blueQuantum() << ")"
           << endl;
       p++;
    }

Using <vector>:
   
  Image image("image.miff");
  std::vector<std::pair<Color,unsigned long> > histogram;
  colorHistogram( &histogram, image );
  std::vector<std::pair<Color,unsigned long> >::const_iterator p=histogram.begin();
  while (p != histogram.end())
    {
      cout << setw(10) << (int)p->second << ": ("
           << setw(quantum_width) << (int)p->first.redQuantum() << ","
           << setw(quantum_width) << (int)p->first.greenQuantum() << ","
           << setw(quantum_width) << (int)p->first.blueQuantum() << ")"
           << endl;
      p++;
    }