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	<title>Comments on: Seen on the web: MATLAB example for tracing and measuring skin lesions</title>
	<atom:link href="http://blogs.mathworks.com/steve/2006/07/14/seen-on-the-web-matlab-example-for-tracing-and-measuring-skin-lesions/feed/" rel="self" type="application/rss+xml" />
	<link>http://blogs.mathworks.com/steve/2006/07/14/seen-on-the-web-matlab-example-for-tracing-and-measuring-skin-lesions/</link>
	<description>Steve Eddins manages the Image &#38; Geospatial development team at The MathWorks and coauthored Digital Image Processing Using MATLAB. He writes here about image processing concepts, algorithm implementations, and MATLAB.</description>
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		<title>By: Steve</title>
		<link>http://blogs.mathworks.com/steve/2006/07/14/seen-on-the-web-matlab-example-for-tracing-and-measuring-skin-lesions/#comment-22407</link>
		<dc:creator>Steve</dc:creator>
		<pubDate>Fri, 04 Dec 2009 18:43:24 +0000</pubDate>
		<guid isPermaLink="false">http://blogs.mathworks.com/steve/?p=70#comment-22407</guid>
		<description>Andrea&#8212;You can use the &#039;Image&#039; and &#039;ConvexImage&#039; properties returned by regionprops.  You can use a logical operation to find the object pixels in &quot;concave&quot; regions.  Then maybe you can look at the ratio of the number of pixels in concave regions to the total number of object pixels.</description>
		<content:encoded><![CDATA[<p>Andrea&mdash;You can use the &#8216;Image&#8217; and &#8216;ConvexImage&#8217; properties returned by regionprops.  You can use a logical operation to find the object pixels in &#8220;concave&#8221; regions.  Then maybe you can look at the ratio of the number of pixels in concave regions to the total number of object pixels.</p>
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		<title>By: Andrea</title>
		<link>http://blogs.mathworks.com/steve/2006/07/14/seen-on-the-web-matlab-example-for-tracing-and-measuring-skin-lesions/#comment-22379</link>
		<dc:creator>Andrea</dc:creator>
		<pubDate>Wed, 25 Nov 2009 10:08:49 +0000</pubDate>
		<guid isPermaLink="false">http://blogs.mathworks.com/steve/?p=70#comment-22379</guid>
		<description>Nice presentation of how to trace the skin lesions. I have a
similar problem. In my case I try to trace the boundaries of
different nuclei. 

I have to major cases: isolated nuclei and overlapping nuclei. I managed to get a black and white image and my question now is how to distinguish when there is a single nuclei or two overlapping nuclei. One idea is that a single nuclei is a convex area and two overlapping nuclei is a concave area. Is there any method that can tell me if a given labelled object is convex or concave? Due to  irregularities, also for the single nuclei, some parts of the contour might look concave.

Br,
Andrea</description>
		<content:encoded><![CDATA[<p>Nice presentation of how to trace the skin lesions. I have a<br />
similar problem. In my case I try to trace the boundaries of<br />
different nuclei. </p>
<p>I have to major cases: isolated nuclei and overlapping nuclei. I managed to get a black and white image and my question now is how to distinguish when there is a single nuclei or two overlapping nuclei. One idea is that a single nuclei is a convex area and two overlapping nuclei is a concave area. Is there any method that can tell me if a given labelled object is convex or concave? Due to  irregularities, also for the single nuclei, some parts of the contour might look concave.</p>
<p>Br,<br />
Andrea</p>
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