<p>The authoritative ImageMagick web site is <a href="https://www.imagemagick.org/">https://www.imagemagick.org</a>. The authoritative source code repository is <a href="http://git.imagemagick.org/repos/ImageMagick">http://git.imagemagick.org/repos/ImageMagick</a>. We maintain a source code mirror at <a href="https://gitlab.com/ImageMagick/ImageMagick">GitLab</a> and <a href="https://github.com/ImageMagick/ImageMagick">GitHub</a>.</p>
-<p>We continue to maintain the legacy release of ImageMagick, version 6, at <a href="https://legacy.imagemagick.org/">https://legacy.imagemagick.org</a>.</p>
+<p>We continue to maintain the legacy release of ImageMagick, version 6, at <a href="http://legacy.imagemagick.org/">http://legacy.imagemagick.org</a>.</p>
<h2 class="magick-header"><a id="features"></a>Features and Capabilities</h2>
<p>Here are just a few <a href="www/examples.html">examples</a> of what ImageMagick can do for you:</p>
</tr>
<tr>
<td><a href="https://www.imagemagick.org/Usage/transform/#vision">Delineate image features</a></td>
- <td><a href="https://www.imagemagick.org/https://www.imagemagick.org/discourse-server//viewtopic.html?f=4&t=25405">Canny edge detection</a>, <a href="https://www.imagemagick.org/https://www.imagemagick.org/discourse-server//viewtopic.html?f=4&t=25476">Hough lines</a>.</td>
+ <td><a href="https://www.imagemagick.org/https://www.imagemagick.org/discourse-server//viewtopic.html?f=4&t=25405">Canny edge detection</a>, <a href="https://www.imagemagick.org/https://www.imagemagick.org/discourse-server//viewtopic.html?f=4&t=25476">Hough lines</a>.</td>
</tr>
<tr>
<td><a href="https://www.imagemagick.org/Usage/fourier/">Discrete Fourier transform</a></td>
</tr>
<tr>
<td><a href="https://www.imagemagick.org/Usage/transform/#vision">Noise and color reduction</a></td>
- <td><a href="https://www.imagemagick.org/https://www.imagemagick.org/discourse-server//viewtopic.html?f=4&t=26480">Kuwahara Filter</a>, <a href="https://www.imagemagick.org/https://www.imagemagick.org/discourse-server//viewtopic.html?f=4&t=25504">mean-shift</a>.</td>
+ <td><a href="https://www.imagemagick.org/https://www.imagemagick.org/discourse-server//viewtopic.html?f=4&t=26480">Kuwahara Filter</a>, <a href="https://www.imagemagick.org/https://www.imagemagick.org/discourse-server//viewtopic.html?f=4&t=25504">mean-shift</a>.</td>
</tr>
<tr>
<td><a href="http://www.fmwconcepts.com/misc_tests/perceptual_hash_test_results_510/index.html">Perceptual hash</a></td>
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<title>Magick++ API: Install Magick++</title>
-<link rel="stylesheet" href="magick.css" type="text/css" />
+<link rel="stylesheet" href="http://nextgen.imagemagick.org/Magick++/magick.css" type="text/css" />
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<p>You can run ImageMagick command line utilities directly from the <code>VisualMagick\bin</code> folder, however, in most cases you may want the convenience of an installer script. ImageMagick provides <a href="http://www.jrsoftware.org">Inno Setup</a> scripts for this purpose. Note, you must define MAGICKCORE_INSTALLED_SUPPORT at <a href="advanced-windows-installation.html#configure">configure</a> time to utilize the installer scripts.</p>
-<p>To get started building a self-installing ImageMagick executable, go to <code>VisualMagick\installer</code> folder and click on a script that matches your build environment. Press F9 to build and install ImageMagick. The default location is <code>C:Program Files\ImageMagick-6.?.?\Q?</code>. The exact folder name depends on the ImageMagick version and quantum depth. Once installed, ImageMagick command line utilities and libraries are available to the MS Command Prompt, web scripts, or to meet your development needs.</p>
+<p>To get started building a self-installing ImageMagick executable, go to <code>VisualMagick\installer</code> folder and click on a script that matches your build environment. Press F9 to build and install ImageMagick. The default location is <code>C:Program Files\ImageMagick-7.?.?\Q?</code>. The exact folder name depends on the ImageMagick version and quantum depth. Once installed, ImageMagick command line utilities and libraries are available to the MS Command Prompt, web scripts, or to meet your development needs.</p>
<h2 class="magick-header"><a id="binary"></a>Create a Self-Installing Binary Distribution</h2>
<h2 class="magick-header"><a id="project"></a>Building Your Custom Project</h2>
-<p>The Windows <a href="https://www.imagemagick.org/script/binary-releases.html#windows">binary</a> distribution includes a number of demo projects that you can use as a template for your own custom project. For example, start with the Button project, generally located in the <code>c:/Program Files/ImageMagick-6.5.5-0/Magick++_demos</code> folder. If not, be sure to select <code>Configuration Properties->C/C++->Preprocessor</code> and set these definitions:</p>
+<p>The Windows <a href="https://www.imagemagick.org/script/binary-releases.html#windows">binary</a> distribution includes a number of demo projects that you can use as a template for your own custom project. For example, start with the Button project, generally located in the <code>c:/Program Files/ImageMagick-7.5.5-0/Magick++_demos</code> folder. If not, be sure to select <code>Configuration Properties->C/C++->Preprocessor</code> and set these definitions:</p>
<pre>
NDEBUG
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<dt><a id="julia"></a>Julia</dt>
-<dd><a href="https://github.com/JuliaIO/ImageMagick.jl">JuliaIO</a> rovides an object-oriented Julia interface to ImageMagick.</dd>
+<dd><a href="https://github.com/JuliaIO/ImageMagick.jl">JuliaIO</a> provides an object-oriented Julia interface to ImageMagick.</dd>
<dt><a id="labview"></a>LabVIEW</dt>
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<div class="magick-header">
-<p class="text-center"><a href="morphology.html#AcquireKernelInfo">AcquireKernelInfo</a> • <a href="morphology.html#
AcquireKernelBuiltIn">AcquireKernelBuiltIn</a> • <a href="morphology.html#CloneKernelInfo">CloneKernelInfo</a> • <a href="morphology.html#DestroyKernelInfo">DestroyKernelInfo</a> • <a href="morphology.html#MorphologyApply">MorphologyApply</a> • <a href="morphology.html#This is almost identical to the MorphologyPrimative">This is almost identical to the MorphologyPrimative</a> • <a href="morphology.html#MorphologyImage">MorphologyImage</a> • <a href="morphology.html#ScaleGeometryKernelInfo">ScaleGeometryKernelInfo</a> • <a href="morphology.html#ScaleKernelInfo">ScaleKernelInfo</a> • <a href="morphology.html#ShowKernelInfo">ShowKernelInfo</a> • <a href="morphology.html#UnityAddKernelInfo">UnityAddKernelInfo</a> • <a href="morphology.html#ZeroKernelNans">ZeroKernelNans</a></p>
+<p class="text-center"><a href="morphology.html#AcquireKernelInfo">AcquireKernelInfo</a> • <a href="morphology.html#CloneKernelInfo">CloneKernelInfo</a> • <a href="morphology.html#DestroyKernelInfo">DestroyKernelInfo</a> • <a href="morphology.html#MorphologyApply">MorphologyApply</a> • <a href="morphology.html#This is almost identical to the MorphologyPrimative">This is almost identical to the MorphologyPrimative</a> • <a href="morphology.html#MorphologyImage">MorphologyImage</a> • <a href="morphology.html#ScaleGeometryKernelInfo">ScaleGeometryKernelInfo</a> • <a href="morphology.html#ScaleKernelInfo">ScaleKernelInfo</a> • <a href="morphology.html#ShowKernelInfo">ShowKernelInfo</a> • <a href="morphology.html#UnityAddKernelInfo">UnityAddKernelInfo</a> • <a href="morphology.html#ZeroKernelNans">ZeroKernelNans</a></p>
<h2><a href="http://www.imagemagick.org/api/MagickCore/morphology_8c.html" id="AcquireKernelInfo">AcquireKernelInfo</a></h2>
<p>The floating point values in the kernel can also include a special value known as 'nan' or 'not a number' to indicate that this value is not part of the kernel array. This allows you to shaped the kernel within its rectangular area. That is 'nan' values provide a 'mask' for the kernel shape. However at least one non-nan value must be provided for correct working of a kernel.</p>
-<p>The returned kernel should be freed using the DestroyKernelInfo() when you are finished with it. Do not free this memory yourself.</p>
+<p>The returned kernel should be freed using the DestroyKernelInfo method when you are finished with it. Do not free this memory yourself.</p>
<p>Input kernel defintion strings can consist of any of three types.</p>
<dt>kernel_string</dt>
<dd>the Morphology/Convolution kernel wanted. </dd>
-<dd> </dd>
-</dl>
-<h2><a href="http://www.imagemagick.org/api/MagickCore/morphology_8c.html" id="AcquireKernelBuiltIn">AcquireKernelBuiltIn</a></h2>
-
-<p>AcquireKernelBuiltIn() returned one of the 'named' built-in types of kernels used for special purposes such as gaussian blurring, skeleton pruning, and edge distance determination.</p>
-
-<p>They take a KernelType, and a set of geometry style arguments, which were typically decoded from a user supplied string, or from a more complex Morphology Method that was requested.</p>
-
-<p>The format of the AcquireKernalBuiltIn method is:</p>
-
-<pre class="text">
-KernelInfo *AcquireKernelBuiltIn(const KernelInfoType type,
- const GeometryInfo args)
-</pre>
-
-<p>A description of each parameter follows:</p>
-
-<dd>
-</dd>
-
-<dd> </dd>
-<dl class="dl-horizontal">
-<dt>type</dt>
-<dd>the pre-defined type of kernel wanted </dd>
-
-<dd> </dd>
-<dt>args</dt>
-<dd>arguments defining or modifying the kernel </dd>
-
-<dd> Convolution Kernels </dd>
-
-<dd> Unity The a No-Op or Scaling single element kernel. </dd>
-
-<dd> Gaussian:{radius},{sigma} Generate a two-dimensional gaussian kernel, as used by -gaussian. The sigma for the curve is required. The resulting kernel is normalized, </dd>
-
-<dd> If 'sigma' is zero, you get a single pixel on a field of zeros. </dd>
-
-<dd> NOTE: that the 'radius' is optional, but if provided can limit (clip) the final size of the resulting kernel to a square 2*radius+1 in size. The radius should be at least 2 times that of the sigma value, or sever clipping and aliasing may result. If not given or set to 0 the radius will be determined so as to produce the best minimal error result, which is usally much larger than is normally needed. </dd>
-
-<dd> LoG:{radius},{sigma} "Laplacian of a Gaussian" or "Mexician Hat" Kernel. The supposed ideal edge detection, zero-summing kernel. </dd>
-
-<dd> An alturnative to this kernel is to use a "DoG" with a sigma ratio of approx 1.6 (according to wikipedia). </dd>
-
-<dd> DoG:{radius},{sigma1},{sigma2} "Difference of Gaussians" Kernel. As "Gaussian" but with a gaussian produced by 'sigma2' subtracted from the gaussian produced by 'sigma1'. Typically sigma2 > sigma1. The result is a zero-summing kernel. </dd>
-
-<dd> Blur:{radius},{sigma}[,{angle}] Generates a 1 dimensional or linear gaussian blur, at the angle given (current restricted to orthogonal angles). If a 'radius' is given the kernel is clipped to a width of 2*radius+1. Kernel can be rotated by a 90 degree angle. </dd>
-
-<dd> If 'sigma' is zero, you get a single pixel on a field of zeros. </dd>
-
-<dd> Note that two convolutions with two "Blur" kernels perpendicular to each other, is equivalent to a far larger "Gaussian" kernel with the same sigma value, However it is much faster to apply. This is how the "-blur" operator actually works. </dd>
-
-<dd> Comet:{width},{sigma},{angle} Blur in one direction only, much like how a bright object leaves a comet like trail. The Kernel is actually half a gaussian curve, Adding two such blurs in opposite directions produces a Blur Kernel. Angle can be rotated in multiples of 90 degrees. </dd>
-
-<dd> Note that the first argument is the width of the kernel and not the radius of the kernel. </dd>
-
-<dd> Binomial:[{radius}] Generate a discrete kernel using a 2 dimentional Pascel's Triangle of values. Used for special forma of image filters. </dd>
-
-<dd> # Still to be implemented... # # Filter2D # Filter1D # Set kernel values using a resize filter, and given scale (sigma) # Cylindrical or Linear. Is this possible with an image? # </dd>
-
-<dd> Named Constant Convolution Kernels </dd>
-
-<dd> All these are unscaled, zero-summing kernels by default. As such for non-HDRI version of ImageMagick some form of normalization, user scaling, and biasing the results is recommended, to prevent the resulting image being 'clipped'. </dd>
-
-<dd> The 3x3 kernels (most of these) can be circularly rotated in multiples of 45 degrees to generate the 8 angled varients of each of the kernels. </dd>
-
-<dd> Laplacian:{type} Discrete Lapacian Kernels, (without normalization) Type 0 : 3x3 with center:8 surounded by -1 (8 neighbourhood) Type 1 : 3x3 with center:4 edge:-1 corner:0 (4 neighbourhood) Type 2 : 3x3 with center:4 edge:1 corner:-2 Type 3 : 3x3 with center:4 edge:-2 corner:1 Type 5 : 5x5 laplacian Type 7 : 7x7 laplacian Type 15 : 5x5 LoG (sigma approx 1.4) Type 19 : 9x9 LoG (sigma approx 1.4) </dd>
-
-<dd> Sobel:{angle} Sobel 'Edge' convolution kernel (3x3) | -1, 0, 1 | | -2, 0,-2 | | -1, 0, 1 | </dd>
-
-<dd> Roberts:{angle} Roberts convolution kernel (3x3) | 0, 0, 0 | | -1, 1, 0 | | 0, 0, 0 | </dd>
-
-<dd> Prewitt:{angle} Prewitt Edge convolution kernel (3x3) | -1, 0, 1 | | -1, 0, 1 | | -1, 0, 1 | </dd>
-
-<dd> Compass:{angle} Prewitt's "Compass" convolution kernel (3x3) | -1, 1, 1 | | -1,-2, 1 | | -1, 1, 1 | </dd>
-
-<dd> Kirsch:{angle} Kirsch's "Compass" convolution kernel (3x3) | -3,-3, 5 | | -3, 0, 5 | | -3,-3, 5 | </dd>
-
-<dd> FreiChen:{angle} Frei-Chen Edge Detector is based on a kernel that is similar to the Sobel Kernel, but is designed to be isotropic. That is it takes into account the distance of the diagonal in the kernel. </dd>
-
-<dd> | 1, 0, -1 | | sqrt(2), 0, -sqrt(2) | | 1, 0, -1 | </dd>
-
-<dd> FreiChen:{type},{angle} </dd>
-
-<dd> Frei-Chen Pre-weighted kernels... </dd>
-
-<dd> Type 0: default un-nomalized version shown above. </dd>
-
-<dd> Type 1: Orthogonal Kernel (same as type 11 below) | 1, 0, -1 | | sqrt(2), 0, -sqrt(2) | / 2*sqrt(2) | 1, 0, -1 | </dd>
-
-<dd> Type 2: Diagonal form of Kernel... | 1, sqrt(2), 0 | | sqrt(2), 0, -sqrt(2) | / 2*sqrt(2) | 0, -sqrt(2) -1 | </dd>
-
-<dd> However this kernel is als at the heart of the FreiChen Edge Detection Process which uses a set of 9 specially weighted kernel. These 9 kernels not be normalized, but directly applied to the image. The results is then added together, to produce the intensity of an edge in a specific direction. The square root of the pixel value can then be taken as the cosine of the edge, and at least 2 such runs at 90 degrees from each other, both the direction and the strength of the edge can be determined. </dd>
-
-<dd> Type 10: All 9 of the following pre-weighted kernels... </dd>
-
-<dd> Type 11: | 1, 0, -1 | | sqrt(2), 0, -sqrt(2) | / 2*sqrt(2) | 1, 0, -1 | </dd>
-
-<dd> Type 12: | 1, sqrt(2), 1 | | 0, 0, 0 | / 2*sqrt(2) | 1, sqrt(2), 1 | </dd>
-
-<dd> Type 13: | sqrt(2), -1, 0 | | -1, 0, 1 | / 2*sqrt(2) | 0, 1, -sqrt(2) | </dd>
-
-<dd> Type 14: | 0, 1, -sqrt(2) | | -1, 0, 1 | / 2*sqrt(2) | sqrt(2), -1, 0 | </dd>
-
-<dd> Type 15: | 0, -1, 0 | | 1, 0, 1 | / 2 | 0, -1, 0 | </dd>
-
-<dd> Type 16: | 1, 0, -1 | | 0, 0, 0 | / 2 | -1, 0, 1 | </dd>
-
-<dd> Type 17: | 1, -2, 1 | | -2, 4, -2 | / 6 | -1, -2, 1 | </dd>
-
-<dd> Type 18: | -2, 1, -2 | | 1, 4, 1 | / 6 | -2, 1, -2 | </dd>
-
-<dd> Type 19: | 1, 1, 1 | | 1, 1, 1 | / 3 | 1, 1, 1 | </dd>
-
-<dd> The first 4 are for edge detection, the next 4 are for line detection and the last is to add a average component to the results. </dd>
-
-<dd> Using a special type of '-1' will return all 9 pre-weighted kernels as a multi-kernel list, so that you can use them directly (without normalization) with the special "-set option:morphology:compose Plus" setting to apply the full FreiChen Edge Detection Technique. </dd>
-
-<dd> If 'type' is large it will be taken to be an actual rotation angle for the default FreiChen (type 0) kernel. As such FreiChen:45 will look like a Sobel:45 but with 'sqrt(2)' instead of '2' values. </dd>
-
-<dd> WARNING: The above was layed out as per http://www.math.tau.ac.il/~turkel/notes/edge_detectors.pdf But rotated 90 degrees so direction is from left rather than the top. I have yet to find any secondary confirmation of the above. The only other source found was actual source code at http://ltswww.epfl.ch/~courstiv/exos_labos/sol3.pdf Neigher paper defineds the kernels in a way that looks locical or correct when taken as a whole. </dd>
-
-<dd> Boolean Kernels </dd>
-
-<dd> Diamond:[{radius}[,{scale}]] Generate a diamond shaped kernel with given radius to the points. Kernel size will again be radius*2+1 square and defaults to radius 1, generating a 3x3 kernel that is slightly larger than a square. </dd>
-
-<dd> Square:[{radius}[,{scale}]] Generate a square shaped kernel of size radius*2+1, and defaulting to a 3x3 (radius 1). </dd>
-
-<dd> Octagon:[{radius}[,{scale}]] Generate octagonal shaped kernel of given radius and constant scale. Default radius is 3 producing a 7x7 kernel. A radius of 1 will result in "Diamond" kernel. </dd>
-
-<dd> Disk:[{radius}[,{scale}]] Generate a binary disk, thresholded at the radius given, the radius may be a float-point value. Final Kernel size is floor(radius)*2+1 square. A radius of 5.3 is the default. </dd>
-
-<dd> NOTE: That a low radii Disk kernels produce the same results as many of the previously defined kernels, but differ greatly at larger radii. Here is a table of equivalences... "Disk:1" => "Diamond", "Octagon:1", or "Cross:1" "Disk:1.5" => "Square" "Disk:2" => "Diamond:2" "Disk:2.5" => "Octagon" "Disk:2.9" => "Square:2" "Disk:3.5" => "Octagon:3" "Disk:4.5" => "Octagon:4" "Disk:5.4" => "Octagon:5" "Disk:6.4" => "Octagon:6" All other Disk shapes are unique to this kernel, but because a "Disk" is more circular when using a larger radius, using a larger radius is preferred over iterating the morphological operation. </dd>
-
-<dd> Rectangle:{geometry} Simply generate a rectangle of 1's with the size given. You can also specify the location of the 'control point', otherwise the closest pixel to the center of the rectangle is selected. </dd>
-
-<dd> Properly centered and odd sized rectangles work the best. </dd>
-
-<dd> Symbol Dilation Kernels </dd>
-
-<dd> These kernel is not a good general morphological kernel, but is used more for highlighting and marking any single pixels in an image using, a "Dilate" method as appropriate. </dd>
-
-<dd> For the same reasons iterating these kernels does not produce the same result as using a larger radius for the symbol. </dd>
-
-<dd> Plus:[{radius}[,{scale}]] Cross:[{radius}[,{scale}]] Generate a kernel in the shape of a 'plus' or a 'cross' with a each arm the length of the given radius (default 2). </dd>
-
-<dd> NOTE: "plus:1" is equivalent to a "Diamond" kernel. </dd>
-
-<dd> Ring:{radius1},{radius2}[,{scale}] A ring of the values given that falls between the two radii. Defaults to a ring of approximataly 3 radius in a 7x7 kernel. This is the 'edge' pixels of the default "Disk" kernel, More specifically, "Ring" -> "Ring:2.5,3.5,1.0" </dd>
-
-<dd> Hit and Miss Kernels </dd>
-
-<dd> Peak:radius1,radius2 Find any peak larger than the pixels the fall between the two radii. The default ring of pixels is as per "Ring". Edges Find flat orthogonal edges of a binary shape Corners Find 90 degree corners of a binary shape Diagonals:type A special kernel to thin the 'outside' of diagonals LineEnds:type Find end points of lines (for pruning a skeletion) Two types of lines ends (default to both) can be searched for Type 0: All line ends Type 1: single kernel for 4-conneected line ends Type 2: single kernel for simple line ends LineJunctions Find three line junctions (within a skeletion) Type 0: all line junctions Type 1: Y Junction kernel Type 2: Diagonal T Junction kernel Type 3: Orthogonal T Junction kernel Type 4: Diagonal X Junction kernel Type 5: Orthogonal + Junction kernel Ridges:type Find single pixel ridges or thin lines Type 1: Fine single pixel thick lines and ridges Type 2: Find two pixel thick lines and ridges ConvexHull Octagonal Thickening Kernel, to generate convex hulls of 45 degrees Skeleton:type Traditional skeleton generating kernels. Type 1: Tradional Skeleton kernel (4 connected skeleton) Type 2: HIPR2 Skeleton kernel (8 connected skeleton) Type 3: Thinning skeleton based on a ressearch paper by Dan S. Bloomberg (Default Type) ThinSE:type A huge variety of Thinning Kernels designed to preserve conectivity. many other kernel sets use these kernels as source definitions. Type numbers are 41-49, 81-89, 481, and 482 which are based on the super and sub notations used in the source research paper. </dd>
-
-<dd> Distance Measuring Kernels </dd>
-
-<dd> Different types of distance measuring methods, which are used with the a 'Distance' morphology method for generating a gradient based on distance from an edge of a binary shape, though there is a technique for handling a anti-aliased shape. </dd>
-
-<dd> See the 'Distance' Morphological Method, for information of how it is applied. </dd>
-
-<dd> Chebyshev:[{radius}][x{scale}[!]] Chebyshev Distance (also known as Tchebychev or Chessboard distance) is a value of one to any neighbour, orthogonal or diagonal. One why of thinking of it is the number of squares a 'King' or 'Queen' in chess needs to traverse reach any other position on a chess board. It results in a 'square' like distance function, but one where diagonals are given a value that is closer than expected. </dd>
-
-<dd> Manhattan:[{radius}][x{scale}[!]] Manhattan Distance (also known as Rectilinear, City Block, or the Taxi Cab distance metric), it is the distance needed when you can only travel in horizontal or vertical directions only. It is the distance a 'Rook' in chess would have to travel, and results in a diamond like distances, where diagonals are further than expected. </dd>
-
-<dd> Octagonal:[{radius}][x{scale}[!]] An interleving of Manhatten and Chebyshev metrics producing an increasing octagonally shaped distance. Distances matches those of the "Octagon" shaped kernel of the same radius. The minimum radius and default is 2, producing a 5x5 kernel. </dd>
-
-<dd> Euclidean:[{radius}][x{scale}[!]] Euclidean distance is the 'direct' or 'as the crow flys' distance. However by default the kernel size only has a radius of 1, which limits the distance to 'Knight' like moves, with only orthogonal and diagonal measurements being correct. As such for the default kernel you will get octagonal like distance function. </dd>
-
-<dd> However using a larger radius such as "Euclidean:4" you will get a much smoother distance gradient from the edge of the shape. Especially if the image is pre-processed to include any anti-aliasing pixels. Of course a larger kernel is slower to use, and not always needed. </dd>
-
-<dd> The first three Distance Measuring Kernels will only generate distances of exact multiples of {scale} in binary images. As such you can use a scale of 1 without loosing any information. However you also need some scaling when handling non-binary anti-aliased shapes. </dd>
-
-<dd> The "Euclidean" Distance Kernel however does generate a non-integer fractional results, and as such scaling is vital even for binary shapes. </dd>
-
<dd> </dd>
</dl>
<h2><a href="http://www.imagemagick.org/api/MagickCore/morphology_8c.html" id="CloneKernelInfo">CloneKernelInfo</a></h2>
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<link rel="stylesheet" type="text/css" href="http://fonts.googleapis.com/css?family=Roboto:900,400,400italic,700,700italic,300,300italic|Open+Sans:300italic,400italic,700italic,300,400,600,700" />
<p>When the pixel cache is initialized, pixels are scaled from whatever bit depth they originated from to that required by the pixel cache. For example, a 1-channel 1-bit monochrome PBM image is scaled to 8-bit gray image, if you are using the Q8 version of ImageMagick, and 16-bit RGBA for the Q16 version. You can determine which version you have with the <a href="command-line-options.html#version">‑version</a> option: </p>
-<pre><span class="crtprompt"> </span><span class='crtin'>identify -version</span><span class='crtout'><br/></span><span class="crtprompt"> </span><span class='crtin'>Version: ImageMagick 7.0.3-8 2016-11-10 Q16 https://www.imagemagick.org</span></pre>
+<pre><span class="crtprompt"> </span><span class='crtin'>identify -version</span><span class='crtout'><br/></span><span class="crtprompt"> </span><span class='crtin'>Version: ImageMagick 7.0.3-8 2016-11-25 Q16 https://www.imagemagick.org</span></pre>
<p>As you can see, the convenience of the pixel cache sometimes comes with a trade-off in storage (e.g. storing a 1-bit monochrome image as 16-bit is wasteful) and speed (i.e. storing the entire image in memory is generally slower than accessing one scanline of pixels at a time). In most cases, the benefits of the pixel cache typically outweigh any disadvantages.</p>
<h3><a id="authentic-pixels"></a>Access the Pixel Cache</h3>
destination[index].w=ClampToQuantum(sum.w);
};</pre>
-<p>See <a href="https://github.com/ImageMagick/ImageMagick/tree/ImageMagick-6/magick/accelerate.c">magick/accelerate.c</a> for a complete implementation of image convolution with an OpenCL kernel.</p>
+<p>See <a href="https://github.com/ImageMagick/ImageMagick/tree/ImageMagick-7/magick/accelerate.c">magick/accelerate.c</a> for a complete implementation of image convolution with an OpenCL kernel.</p>
<p>Note, that under Windows, you might have an issue with TDR (Timeout Detection and Recovery of GPUs). Its purpose is to detect runaway tasks hanging the GPU by using an execution time threshold. For some older low-end GPUs running the OpenCL filters in ImageMagick, longer execution times might trigger the TDR mechanism and pre-empt the GPU image filter. When this happens, ImageMagick automatically falls back to the CPU code path and returns the expected results. To avoid pre-emption, increase the <a href="http://msdn.microsoft.com/en-us/library/windows/hardware/gg487368.aspx">TdrDelay</a> registry key.</p>
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<td>Redhat / CentOS 7.1 x86_64 RPM</td>
</tr>
+ <tr>
+ <td>ImageMagick-libs7.0.3-8.x86_64.rpm</td>
+ <td><a href= "https://www.imagemagick.org/download/linux/CentOS/x86_64/ImageMagick-libs7.0.3-8.x86_64.rpm">download</a></td>
+ <td><a href="ftp://ftp.imagemagick.org/pub/ImageMagick/linux/CentOS/x86_64/ImageMagick-libs7.0.3-8.x86_64.rpm">download</a></td>
+ <td>Redhat / CentOS 7.1 x86_64 RPM</td>
+ </tr>
+
<tr>
<td>ImageMagick RPM's</td>
<td><a href="https://www.imagemagick.org/download/linux/CentOS">download</a></td>
<p>ImageMagick RPM's are self-installing. Simply type the following command and you're ready to start using ImageMagick:</p>
-<pre><span class="crtprompt"> </span><span class='crtin'>rpm -Uvh ImageMagick-7.0.3-8.x86_64.rpm</span></pre>
+<pre><span class="crtprompt"> </span><span class='crtin'>rpm -Uvh ImageMagick-7.0.3-8.x86_64.rpm</span></pre><p>You'll need the libraries as well:</p>
+<pre><span class="crtprompt"> </span><span class='crtin'>rpm -Uvh ImageMagick-libs7.0.3-8.x86_64.rpm</span></pre>
<p>For other systems, create (or choose) a directory to install the package into and change to that directory, for example:</p>
<pre>
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<div class="container">
-<div class="magick-header"><dl><dt>2016-11-18 7.0.3-8 Cristy <quetzlzacatenango@image...></dt>
+<div class="magick-header"><dl><dt>2016-11-26 7.0.3-9 Cristy <quetzlzacatenango@image...></dt>
+ <li> Support the compare -read-mask option.</li>
+<dt>2016-11-15 7.0.3-8 Cristy <quetzlzacatenango@image...></dt>
+ <li> Release ImageMagick version 7.0.3-8, GIT revision 19067:5aceded:20161125.</li>
+<dt>2016-11-18 7.0.3-8 Cristy <quetzlzacatenango@image...></dt>
<li> Support the phash:colorspaces and phash:normalize options.</li>
<li> If a convenient line break is not found, force it for caption: (reference https://www.imagemagick.org/discourse-server/viewtopic.html?f=3&t=30887).</li>
<li> Set alpha member of draw structure to OpaqueAlpha (reference https://www.imagemagick.org/discourse-server/viewtopic.html?f=3&t=30894).</li>
<li> Off by 1 error when computing the standard deviation (reference https://www.imagemagick.org/discourse-server/viewtopic.html?f=2&t=30866).</li>
+ <li> Apply Debian patches, (reference https://github.com/ImageMagick/ImageMagick/issues/304).</li>
+ <li> Permit EPT images with just a TIFF or EPS image, not both (reference https://www.imagemagick.org/discourse-server/viewtopic.html?f=3&t=30921).</li>
+ <li> The -clone option no longer leaks memory.</li>
+ <li> Render to clip mask rather than image for clip-path MVG graphics primitive.</li>
<dt>2016-11-15 7.0.3-7 Cristy <quetzlzacatenango@image...></dt>
<li> Release ImageMagick version 7.0.3-7, GIT revision 19024:87aca83:20161115.</li>
<dt>2016-11-10 7.0.3-7 Cristy <quetzlzacatenango@image...></dt>
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- <link rel="canonical" href="command-line-options.html?"/>
+ <link rel="canonical" href="https://www.imagemagick.org/script/command-line-options.html"/>
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<td>h:format=<var>value</var></td>
<td>Set the image encoding format use when writing a C-style header.
<var>format</var> can be any output format supported by ImageMagick
- except for <var>h</var> and <var>magick</var></td>. If this
+ except for <var>h</var> and <var>magick</var>. If this
option is omitted, the default is <var>GIF</var> for PseudoClass
images and <var>PNM</var> for DirectClass images.
+ </td>
</tr>
<tr>
<tr>
<td>magick:format=<var>value</var></td>
<td>Set the image encoding format use when writing a C-style header.
- This is the same as "h:format=format" described above.</td>.
+ This is the same as "h:format=format" described above.</td>
</tr>
<tr>
<tr>
<td>pcl:fit-to-page=<var>true</var></td>
+ </tr>
<tr>
<td>pdf:fit-page=<var>geometry</var></td>
Arc the image (variation of polar mapping) over the angle given around
a circle.
- <p><dl class="dl-horizontal">
+ <dl class="dl-horizontal">
<dt>arc_angle</dt>
<dd>The angle over which to arc the image side-to-side</dd>
<dt>rotate_angle</dt>
<dd>Set top edge of source image at this radius</dd>
<dt>bottom_radius </dt>
<dd>Set bottom edge to this radius (radial scaling)</dd>
- </dl></p>
+ </dl>
The resulting image is always resized to best fit the resulting image,
(as if using <a href="command-line-options.html#distort" >+distort</a>) while attempting to
<tr>
<td>-define filter:b=<var>b-spline_factor</var></td>
+ </tr>
+
<tr>
<td>-define filter:c=<var>keys_alpha_factor</var></td>
<td>Redefine the values used for cubic filters such as <code>Cubic</code>,
<var>range</var>/Ï€ * atan( <var>slope</var>*Ï€ * ( <b><var>u</var></b> - <var>center</var> ) ) + <var>bias</var>
</pre>
</dd>
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</dl>
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- <link rel="canonical" href="https://www.imagemagick.org/script/../www/command-line-tools.html"/>
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<td>suppress all warning messages</td>
</tr>
+ <tr>
+ <td><a href="command-line-options.html#read-mask">-read-mask <var>filename</var></a></td>
+ <td>associate a read mask with the image</td>
+ </tr>
+
<tr>
<td><a href="command-line-options.html#regard-warnings">-regard-warnings</a></td>
<td>pay attention to warning messages.</td>
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<div class="magick-header">
<p class="lead magick-description">ImageMagick Studio LLC is a limited liability corporation based in the United States of America. All of our products are developed via online collaboration in public forums and distributed from a central server within the U.S. Therefore, U.S. export laws and regulations apply to our distributions and remain in force as products and technology are re-exported to different parties and places around the world. Information on export control classifications and associated restrictions may be required for exporting, re-exporting, record keeping, bundling/embedding of ImageMagick products, encryption reporting, and shipping documentation. More information on U.S. Export Regulations can be found at the <a href="http://www.bis.doc.gov/">U. S. Bureau of Industry and Security</a>.</p>
-<p>The <a href="https://github.com/ImageMagick/ImageMagick/tree/ImageMagick-
6/">ImageMagick</a> software distribution is classified as <a href="http://www.access.gpo.gov/bis/ear/txt/ccl5-pt2.txt">ECCN 5D002</a>. However, ImageMagick Studio LLC makes no warranty or representation that this classification is accurate, current, or complete. ImageMagick is exported under the <a href="http://www.access.gpo.gov/bis/ear/txt/740.txt">TSU exception in EAR 740.13(e)</a> which applies to software containing or designed for use with encryption software that is publicly available as open source. TSU further provides that <var>Posting encryption source code and corresponding object code on the Internet (e.g., FTP or World Wide Web site) where it may be downloaded by anyone neither establishes "knowledge" of a prohibited export or reexport for purposes of this paragraph, nor triggers any "red flags" necessitating the affirmative duty to inquire[...]</var>. It is your obligation as the exporter to comply with the current applicable requirements of United States export rules and regulations.</p>
+<p>The <a href="https://github.com/ImageMagick/ImageMagick/tree/ImageMagick-
7/">ImageMagick</a> software distribution is classified as <a href="http://www.access.gpo.gov/bis/ear/txt/ccl5-pt2.txt">ECCN 5D002</a>. However, ImageMagick Studio LLC makes no warranty or representation that this classification is accurate, current, or complete. ImageMagick is exported under the <a href="http://www.access.gpo.gov/bis/ear/txt/740.txt">TSU exception in EAR 740.13(e)</a> which applies to software containing or designed for use with encryption software that is publicly available as open source. TSU further provides that <var>Posting encryption source code and corresponding object code on the Internet (e.g., FTP or World Wide Web site) where it may be downloaded by anyone neither establishes "knowledge" of a prohibited export or reexport for purposes of this paragraph, nor triggers any "red flags" necessitating the affirmative duty to inquire[...]</var>. It is your obligation as the exporter to comply with the current applicable requirements of United States export rules and regulations.</p>
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<p><a href="support.html">Donate</a> •
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<p>The authoritative ImageMagick web site is <a href="https://www.imagemagick.org/">https://www.imagemagick.org</a>. The authoritative source code repository is <a href="http://git.imagemagick.org/repos/ImageMagick">http://git.imagemagick.org/repos/ImageMagick</a>. We maintain a source code mirror at <a href="https://gitlab.com/ImageMagick/ImageMagick">GitLab</a> and <a href="https://github.com/ImageMagick/ImageMagick">GitHub</a>.</p>
-<p>We continue to maintain the legacy release of ImageMagick, version 6, at <a href="https://legacy.imagemagick.org/">https://legacy.imagemagick.org</a>.</p>
+<p>We continue to maintain the legacy release of ImageMagick, version 6, at <a href="http://legacy.imagemagick.org/">http://legacy.imagemagick.org</a>.</p>
<h2 class="magick-header"><a id="features"></a>Features and Capabilities</h2>
<p>Here are just a few <a href="https://www.imagemagick.org/script/examples.html">examples</a> of what ImageMagick can do for you:</p>
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<td><a href="https://www.imagemagick.org/Usage/transform/#vision">Delineate image features</a></td>
- <td><a href="https://www.imagemagick.org/discourse-server/viewtopic.html?f=4&t=25405">Canny edge detection</a>, <a href="https://www.imagemagick.org/discourse-server/viewtopic.html?f=4&t=25476">Hough lines</a>.</td>
+ <td><a href="https://www.imagemagick.org/discourse-server/viewtopic.html?f=4&t=25405">Canny edge detection</a>, <a href="https://www.imagemagick.org/discourse-server/viewtopic.html?f=4&t=25476">Hough lines</a>.</td>
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<td><a href="https://www.imagemagick.org/Usage/fourier/">Discrete Fourier transform</a></td>
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<td><a href="https://www.imagemagick.org/Usage/transform/#vision">Noise and color reduction</a></td>
- <td><a href="https://www.imagemagick.org/discourse-server/viewtopic.html?f=4&t=26480">Kuwahara Filter</a>, <a href="https://www.imagemagick.org/discourse-server/viewtopic.html?f=4&t=25504">mean-shift</a>.</td>
+ <td><a href="https://www.imagemagick.org/discourse-server/viewtopic.html?f=4&t=26480">Kuwahara Filter</a>, <a href="https://www.imagemagick.org/discourse-server/viewtopic.html?f=4&t=25504">mean-shift</a>.</td>
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<td><a href="http://www.fmwconcepts.com/misc_tests/perceptual_hash_test_results_510/index.html">Perceptual hash</a></td>
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<dl class="magick-list-unstyled">
<li><a href="https://www.imagemagick.org/Usage/anim_basics/">Animation</a>: create a GIF animation sequence from a group of images.</li>
- <li><a href="https://www.imagemagick.org/discourse-server/viewtopic.html?f=4&t=amp;t=25405">Canny edge detection</a>: extract edges from an image using the Canny technique.</li>
+ <li><a href="https://www.imagemagick.org/discourse-server/viewtopic.html?f=4&t=25405">Canny edge detection</a>: extract edges from an image using the Canny technique.</li>
<li><a href="color-management.html">Color management</a>: accurate color management with color profiles or in lieu of-- built-in gamma compression or expansion as demanded by the colorspace.</li>
<li><a href="command-line-processing.html">Command-line processing</a>: utilize ImageMagick from the command line.</li>
<li><a href="connected-components.html">Connected Component Labeling</a>: uniquely label connected regions in an image.</li>
<li><a href="https://www.imagemagick.org/Usage/distorts/">Generalized pixel distortion</a>: correct for, or induce image distortions including perspective.</li>
<li><a href="architecture.html#distributed">Heterogeneous distributed processing</a>: <a href="opencl.html">certain algorithms</a> are <a href="http://en.wikipedia.org/wiki/OpenCL" target="_blank">OpenCL</a>-enabled to take advantage of speed-ups offered by executing in concert across heterogeneous platforms consisting of CPUs, GPUs, and other processors.</li>
<li><a href="high-dynamic-range.html">High dynamic-range images</a>: accurately represent the wide range of intensity levels found in real scenes ranging from the brightest direct sunlight to the deepest darkest shadows.</li>
- <li><a href="https://www.imagemagick.org/discourse-server/viewtopic.html?f=4&t=amp;t=25476">Hough lines</a>: fit straight lines to edges in an image using the Hough transform technique.</li>
+ <li><a href="https://www.imagemagick.org/discourse-server/viewtopic.html?f=4&t=25476">Hough lines</a>: fit straight lines to edges in an image using the Hough transform technique.</li>
<li><a href="fx.html">Image calculator</a>: apply a mathematical expression to an image or image channels.</li>
<li><a href="gradient.html">Image gradients</a>: create a gradual blend of two colors whose shape is horizontal, vertical, circular, or elliptical.</li>
<li><a href="identify.html">Image identification</a>: describe the format and attributes of an image.</li>
<li><a href="binary-releases.html#iOS">ImageMagick on the iPhone</a>: convert, edit, or compose images on your iPhone.</li>
- <li><a href="https://www.imagemagick.org/discourse-server/viewtopic.html?f=4&t=amp;t=26480">Kuwahara Filter</a>: apply an edge perserving noise and color reduction filter to an image.</li>
+ <li><a href="https://www.imagemagick.org/discourse-server/viewtopic.html?f=4&t=26480">Kuwahara Filter</a>: apply an edge perserving noise and color reduction filter to an image.</li>
<li><a href="architecture.html#tera-pixel">Large image support</a>: read, process, or write mega-, giga-, or tera-pixel image sizes.</li>
- <li><a href="https://www.imagemagick.org/discourse-server/viewtopic.html?f=4&t=amp;t=25504">Mean-shift</a>: apply a color reduction technique to an image.</li>
+ <li><a href="https://www.imagemagick.org/discourse-server/viewtopic.html?f=4&t=25504">Mean-shift</a>: apply a color reduction technique to an image.</li>
<li><a href="montage.html">Montage</a>: juxtapose image thumbnails on an image canvas.</li>
<li><a href="https://www.imagemagick.org/Usage/morphology/">Morphology of shapes</a>: extract features, describe shapes and recognize patterns in images.</li>
<li><a href="motion-picture.html">Motion picture support</a>: read and write the common image formats used in digital film work.</li>
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<p>Flattr is a microdonation system. You donate a small amount every month and
click Flattr buttons on worthy sites to share the donation among those sites, similar to a tip jar (for more details see Wikipedia's <a href="http://en.wikipedia.org/wiki/Flattr">Flattr</a> article).</p>
<ul>
-<dt><a href="https://flattr.com/submit/auto?user_id=magick&url=http%3A%2F%2Fwww.imagemagick.org" target="_blank"><img src="http://api.flattr.com/button/flattr-badge-large.png" alt="Flattr this" title="Flattr this" border="0"/></a>
+<dt><a href="https://flattr.com/submit/auto?user_id=magick&
amp;url=http%3A%2F%2Fwww.imagemagick.org" target="_blank"><img src="http://api.flattr.com/button/flattr-badge-large.png" alt="Flattr this" title="Flattr this" border="0"/></a>
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<h3>Litecoin</h3>
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projects / imagemagick / commitdiff