http://avisynth.nl/index.php?action=history&feed=atom&title=MaskTools%2FDEdgeMask 2026-04-07T20:47:28Z Revision history for this page on the wiki MediaWiki 1.19.24 http://avisynth.nl/index.php?title=MaskTools/DEdgeMask&diff=161&oldid=prev 2013-05-09T15:01:59Z

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Admin http://avisynth.nl/index.php?title=MaskTools/DEdgeMask&diff=160&oldid=prev 2008-02-28T13:58:18Z

<p>New page: {{FilterCat|External_filters|Other_filters|Support_filters}} {{Func2Def|DEdgeMask (clip[, int &quot;thY1&quot;[, int &quot;thY2&quot;[, int &quot;thC1&quot;[, int &quot;thC2&quot;[, string &quot;matrix&quot;[, float &quot;divisor&quot;[, bool &quot;set...</p> <p><b>New page</b></p><div>{{FilterCat|External_filters|Other_filters|Support_filters}}<br /> <br /> {{Func2Def|DEdgeMask (clip[, int &quot;thY1&quot;[, int &quot;thY2&quot;[, int &quot;thC1&quot;[, int &quot;thC2&quot;[, string &quot;matrix&quot;[, float &quot;divisor&quot;[, bool &quot;setdivisor&quot;[, bool &quot;vmode&quot;]]]]]]]])<br /> |DEdgeMask2 (clip source, clip low_thres, clip high_thres[, string &quot;matrix&quot;[, float &quot;divisor&quot;[, bool &quot;setdivisor&quot;[, bool &quot;vmode&quot;]]]])}}<br /> <br /> '''Plugin''': [[MaskTools]]<br /> <br /> '''DEdgeMask''' creates an edge mask of the picture. The edge-finding algorithm uses a convolution kernel, and the result of the convolution is then thresholded with &lt;tt&gt;thY1&lt;/tt&gt; and &lt;tt&gt;thY2&lt;/tt&gt; (luma) and &lt;tt&gt;thC1&lt;/tt&gt; and &lt;tt&gt;thC2&lt;/tt&gt; (chroma). The thresholding happens like that (r is the result of the convolution):<br /> <br /> * r &lt;= th1 gives 0.<br /> * th1 &lt; r &lt;= th2 gives r.<br /> * th2 &lt; r gives 255.<br /> <br /> In order to create a binary mask, you just have to set th1=th2.<br /> <br /> The choice of the convolution kernel is done with &lt;tt&gt;matrix&lt;/tt&gt;. The &lt;tt&gt;matrix&lt;/tt&gt; must be a 3 by 3 matrix, whose coefficients are integers, separated by a single space. Hence, the strings &quot;-1 -1 -1 -1 8 -1 -1 -1 -1&quot; and &quot;0 -1 0 -1 0 1 0 1 0&quot; will respectively give the kernels &quot;laplace&quot; and &quot;sobel&quot; of the filter [[MaskTools/EdgeMask|EdgeMask]].<br /> <br /> As coefficients must be integers, &lt;tt&gt;divisor&lt;/tt&gt; is used to refine the result of the convolution. This result will simply be divided by &lt;tt&gt;divisor&lt;/tt&gt;. If &lt;tt&gt;divisor&lt;/tt&gt; isn't defined, it is defaulted to the sum of the positive coefficients of the matrix, thus allowing a classic normalization. It can be either a float or an integer, the later being the faster.<br /> <br /> &lt;tt&gt;setdivisor&lt;/tt&gt; is present only for backward compatibility. Do not use it.<br /> <br /> Finally &lt;tt&gt;vmode&lt;/tt&gt; allows to output a mask centered to 128 instead of zero. <br /> <br /> Defaults are:<br /> * &lt;tt&gt;thY1&lt;/tt&gt; = 0, &lt;tt&gt;thY2&lt;/tt&gt; = 20, <br /> * &lt;tt&gt;thC1&lt;/tt&gt; = 0, &lt;tt&gt;thC2&lt;/tt&gt; = 20, <br /> * &lt;tt&gt;matrix&lt;/tt&gt; = &quot;-1 -1 -1 -1 8 -1 -1 -1 -1&quot; <br /> * &lt;tt&gt;vmode&lt;/tt&gt; = false.<br /> <br /> ----<br /> <br /> '''DEdgeMask2''' basically works like DEdgeMask, except that instead of 2 low / high thresholds, it takes 2 other clips. Each clip contains local thresholds for each pixel. <br /> <br /> Let's say you want adaptive thresholds taking local contrast into account. Well, local min &amp; max can be obtained through [[MaskTools/Inpand|inpand()]] and [[MaskTools/Expand|expand()]]. Difference can be made with [[MaskTools/YV12LUTxy|YV12LUTxy]] or [[MaskTools/YV12Subtract|YV12Subtract]]. And voilΰ, you've got a threshold clip containing local contrasts.<br /> <br /> ----<br /> Back to [[MaskTools]].</div>

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