Hi John,<div><br></div><div>Here is a good explanation with an example: <a href="http://www.labbookpages.co.uk/software/imgProc/otsuThreshold.html">http://www.labbookpages.co.uk/software/imgProc/otsuThreshold.html</a></div>
<div><br></div><div><a href="http://www.labbookpages.co.uk/software/imgProc/otsuThreshold.html"></a>In summary, OtsuFilter works for bimodal histogram (binary segmentation). It searches exhaustively for a threshold value that gives minimum value for sum of within-class variances. Alternatively, you can look for a threshold that provides maximum value for between-class variance.</div>
<div><br></div><div>Its extension works for multi-modal histogram and provides multiple thresholds, say N thresholds, for N+1 classes based on the same principle.</div><div><br></div><div>~Uday<br><br><div class="gmail_quote">
On Fri, Apr 8, 2011 at 11:59 AM, john smith <span dir="ltr"><<a href="mailto:mkitkinsightuser@gmail.com">mkitkinsightuser@gmail.com</a>></span> wrote:<br><blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex;">
Hello,<br><br>I have read itk manual about OtsuThresholdImageFilter, but I still I cannot understand the method very much.Could someone give some advise about this typy of histogram segmentation algorithm? What is the difference with OtsuMultipleThresholdImageFilter?<br>
<br>Thanks<br><div style="padding:0px;margin-left:0px;margin-top:0px;overflow:hidden;word-wrap:break-word;color:black;font-size:10px;text-align:left;line-height:130%">
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