<html><body style="word-wrap: break-word; -webkit-nbsp-mode: space; -webkit-line-break: after-white-space; ">Hi Marsall,<div><br></div><div>Just in case you might be interested, another set of texture measurements based on run-length matrices is available via the following IJ publication</div><div><br></div><div><span class="Apple-style-span" style="font-family: arial; font-size: 13px; line-height: 18px; -webkit-border-horizontal-spacing: 2px; -webkit-border-vertical-spacing: 2px; "><a href="http://hdl.handle.net/1926/1374" style="text-decoration: none; "><font class="Apple-style-span" color="#000000">http://hdl.handle.net/1926/1374</font></a></span></div><div><font class="Apple-style-span" face="arial" size="3"><span class="Apple-style-span" style="font-size: 13px; line-height: 18px; -webkit-border-horizontal-spacing: 2px; -webkit-border-vertical-spacing: 2px;"><br></span></font></div><div><font class="Apple-style-span" face="arial" size="3"><span class="Apple-style-span" style="font-size: 13px; line-height: 18px; -webkit-border-horizontal-spacing: 2px; -webkit-border-vertical-spacing: 2px;">The API of the corresponding classes is identical to that of the classes pointed out by Karthik so they should be relatively easy to use in addition to the cooccurrence-matrix-based classes.</span></font></div><div><font class="Apple-style-span" face="arial" size="3"><span class="Apple-style-span" style="font-size: 13px; line-height: 18px; -webkit-border-horizontal-spacing: 2px; -webkit-border-vertical-spacing: 2px;"><br></span></font></div><div><font class="Apple-style-span" face="arial" size="3"><span class="Apple-style-span" style="font-size: 13px; line-height: 18px; -webkit-border-horizontal-spacing: 2px; -webkit-border-vertical-spacing: 2px;">Nick</span></font></div><div><br></div><div><br><div><div>On Jan 25, 2009, at 12:50 AM, Karthik Krishnan wrote:</div><br class="Apple-interchange-newline"><blockquote type="cite"><div>Marshall:<br><br>Take a look at the classes : GreyLevelCooccurrenceMatrixTextureCoefficientsCalculator and ScalarImageToGreyLevelCooccurrenceMatrixGenerator. You would use the latter to get the co-occurance matrix and then use the former to compute necessary texture properties ( entropy, correlation etc. ). At present they calculate 4 types of coefficients, but Yyu might want to create variants of the GLCMTextureCoefficientsCalcultator to calculate additional texture features from the resulting 2D histrogram that suit your application.<br><br>HTH<br>--<br>karthik<br><br><br><br><br><br>Marshall Strother wrote:<br><blockquote type="cite">Hi. I'm looking for a way to calculate texture features in itk similar to <a href="http://www.mathworks.com/access/helpdesk/help/toolbox/images/index.html?/access/helpdesk/help/toolbox/images/f11-27972.html">http://www.mathworks.com/access/helpdesk/help/toolbox/images/index.html?/access/helpdesk/help/toolbox/images/f11-27972.html</a> in matlab.<br></blockquote><blockquote type="cite"><br></blockquote><blockquote type="cite">I have heard that the functionality exists in itk, and I would expect it to be well suited to a Neighborhood Filter, but I've been looking at the Software Guide and the doxygen documentation for a while now and I can't seem to find anything.<br></blockquote><blockquote type="cite"><br></blockquote><blockquote type="cite">Specifically, I'm looking for a way to calculate local range, standard deviation, contrast, local homogeneity, and entropy.<br></blockquote><blockquote type="cite"><br></blockquote><blockquote type="cite">Can someone point me in the right direction?<br></blockquote><blockquote type="cite"><br></blockquote><blockquote type="cite">Thanks!<br></blockquote><blockquote type="cite">------------------------------------------------------------------------<br></blockquote><blockquote type="cite"><br></blockquote><blockquote type="cite">_______________________________________________<br></blockquote><blockquote type="cite">Insight-users mailing list<br></blockquote><blockquote type="cite"><a href="mailto:Insight-users@itk.org">Insight-users@itk.org</a><br></blockquote><blockquote type="cite"><a href="http://www.itk.org/mailman/listinfo/insight-users">http://www.itk.org/mailman/listinfo/insight-users</a><br></blockquote><blockquote type="cite"> <br></blockquote><br>-- <br>Karthik Krishnan<br>R & D Engineer,<br>Kitware Inc,<br>Ph: 518 371 3971 x119<br>Fax: 518 371 3971<br><br>_______________________________________________<br>Insight-users mailing list<br><a href="mailto:Insight-users@itk.org">Insight-users@itk.org</a><br>http://www.itk.org/mailman/listinfo/insight-users<br></div></blockquote></div><br></div></body></html>