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+<?xml version="1.0" encoding="UTF-8"?>
+
+<!--
+ *
+ * This help file was generated from CV_AdaptiveThreshold.sci using help_from_sci().
+ *
+ -->
+
+<refentry version="5.0-subset Scilab" xml:id="CV_AdaptiveThreshold" 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_AdaptiveThreshold</refname>
+    <refpurpose>function to adaptively threshold input image</refpurpose>
+  </refnamediv>
+
+
+<refsynopsisdiv>
+   <title>Calling Sequence</title>
+   <synopsis>
+   dst = CV_AdaptiveThreshold(srcimg,max_value,adaptive_method,thresh_type,blk_size,c)
+   
+   </synopsis>
+</refsynopsisdiv>
+
+<refsection>
+   <title>Parameters</title>
+   <variablelist>
+   <varlistentry><term>src :</term>
+      <listitem><para> Source 8-bit single-channel image.</para></listitem></varlistentry>
+   <varlistentry><term>max_value :</term>
+      <listitem><para> Non-zero value assigned to the pixels for which the condition is satisfied. See the details below.</para></listitem></varlistentry>
+   <varlistentry><term>adaptive_method :</term>
+      <listitem><para> Adaptive thresholding algorithm to use, ADAPTIVE_THRESH_MEAN_C or ADAPTIVE_THRESH_GAUSSIAN_C .</para></listitem></varlistentry>
+   <varlistentry><term>thresh_type :</term>
+      <listitem><para> Thresholding type that must be either THRESH_BINARY or THRESH_BINARY_INV .</para></listitem></varlistentry>
+   <varlistentry><term>blockSize :</term>
+      <listitem><para> Size of a pixel neighborhood that is used to calculate a threshold value for the pixel: 3, 5, 7, and so on.</para></listitem></varlistentry>
+   <varlistentry><term>C :</term>
+      <listitem><para> Constant subtracted from the mean or weighted mean.Normally, it is positive but may be zero or negative as well.</para></listitem></varlistentry>
+   </variablelist>
+</refsection>
+
+<refsection>
+   <title>Description</title>
+   <para>
+This function can be used for adaptively threshold given image
+   </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_AdaptiveThreshold(img,255,"ADAPTIVE_THRESH_MEAN_C", ...
+"THRESH_BINARY",5,0)
+
+   ]]></programlisting>
+</refsection>
+
+<refsection>
+   <title>See also</title>
+   <simplelist type="inline">
+   <member><link linkend="CV_LoadImage">CV_CreateImage</link></member>
+   </simplelist>
+</refsection>
+
+<refsection>
+   <title>Authors</title>
+   <simplelist type="vert">
+   <member>Siddhesh Wani</member>
+   </simplelist>
+</refsection>
+</refentry>