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<?xml version="1.0" encoding="UTF-8"?>

<!--
 *
 * This help file was generated from CV_Canny.sci using help_from_sci().
 *
 -->

<refentry version="5.0-subset Scilab" xml:id="CV_Canny" xml:lang="en"
          xmlns="http://docbook.org/ns/docbook"
          xmlns:xlink="http://www.w3.org/1999/xlink"
          xmlns:svg="http://www.w3.org/2000/svg"
          xmlns:ns3="http://www.w3.org/1999/xhtml"
          xmlns:mml="http://www.w3.org/1998/Math/MathML"
          xmlns:scilab="http://www.scilab.org"
          xmlns:db="http://docbook.org/ns/docbook">

  <refnamediv>
    <refname>CV_Canny</refname>
    <refpurpose>Finds edges in image using Canny algorithm</refpurpose>
  </refnamediv>


<refsynopsisdiv>
   <title>Calling Sequence</title>
   <synopsis>
   edges = CV_Canny(srcimg,threhold1,threshold2,aperture_size,L2gradient)
   
   </synopsis>
</refsynopsisdiv>

<refsection>
   <title>Parameters</title>
   <variablelist>
   <varlistentry><term>srcimg :</term>
      <listitem><para> single-channel 8-bit input image.</para></listitem></varlistentry>
   <varlistentry><term>threshold1 :</term>
      <listitem><para> first threshold for the hysteresis procedure.</para></listitem></varlistentry>
   <varlistentry><term>threshold2 :</term>
      <listitem><para> second threshold for the hysteresis procedure.</para></listitem></varlistentry>
   <varlistentry><term>aperture_size :</term>
      <listitem><para> aperture size for the Sobel() operator.</para></listitem></varlistentry>
   <varlistentry><term>L2gradient :</term>
      <listitem><para> a flag, indicating whether a more accurate</para></listitem></varlistentry>
   </variablelist>
</refsection>

<refsection>
   <title>Description</title>
   <para>
This function can be used for finding edes in single channel 8 bit
image. 'aperture_size' and 'L2gradient' are optionals. By default,
aperture_size is 3 and L2gradient is false.
   </para>
   <para>
For L2gradient: L_2 norm  =sqrt{(dI/dx)^2 + (dI/dy)^2} should be used to calculate the image gradient magnitude (L2gradient=1 ), or whether the default  L_1 norm  =|dI/dx|+|dI/dy| is enough (L2gradient=0).
   </para>
   <para>
This is curretly dummy function. It provides no functionality but is required
for providing support for generating C code for OpenCV
   </para>
   <para>
</para>
</refsection>

<refsection>
   <title>Examples</title>
   <programlisting role="example"><![CDATA[
img = CV_LoadImage('~/test.jpg',0)
dst = CV_CvtColor(img,"CV_RGB2GRAY");
edge = CV_Canny(dst,50,100,3,0);
   ]]></programlisting>
</refsection>

<refsection>
   <title>See also</title>
   <simplelist type="inline">
   <member><link linkend="CV_LoadImage">CV_CvtColor</link></member>
   </simplelist>
</refsection>

<refsection>
   <title>Authors</title>
   <simplelist type="vert">
   <member>Siddhesh Wani</member>
   </simplelist>
</refsection>
</refentry>