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	<title>Comments on: Using ismember with the output of regionprops</title>
	<atom:link href="http://blogs.mathworks.com/steve/2009/02/27/using-ismember-with-the-output-of-regionprops/feed/" rel="self" type="application/rss+xml" />
	<link>http://blogs.mathworks.com/steve/2009/02/27/using-ismember-with-the-output-of-regionprops/</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>
	<lastBuildDate>Fri, 10 Feb 2012 18:55:59 +0000</lastBuildDate>
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	<item>
		<title>By: Rahul</title>
		<link>http://blogs.mathworks.com/steve/2009/02/27/using-ismember-with-the-output-of-regionprops/#comment-24730</link>
		<dc:creator>Rahul</dc:creator>
		<pubDate>Thu, 08 Dec 2011 14:54:09 +0000</pubDate>
		<guid isPermaLink="false">http://blogs.mathworks.com/steve/2009/02/27/using-ismember-with-the-output-of-regionprops/#comment-24730</guid>
		<description>Great work. Really very much important ; little little things are explained very very much well...!! thank you so much..!!</description>
		<content:encoded><![CDATA[<p>Great work. Really very much important ; little little things are explained very very much well&#8230;!! thank you so much..!!</p>
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	</item>
	<item>
		<title>By: Luis</title>
		<link>http://blogs.mathworks.com/steve/2009/02/27/using-ismember-with-the-output-of-regionprops/#comment-24724</link>
		<dc:creator>Luis</dc:creator>
		<pubDate>Sun, 04 Dec 2011 10:21:49 +0000</pubDate>
		<guid isPermaLink="false">http://blogs.mathworks.com/steve/2009/02/27/using-ismember-with-the-output-of-regionprops/#comment-24724</guid>
		<description>Hi Steve,
I have an image with big blue blobs, an image with small red blobs and an image with small green blobs. I want to identify blue blobs that have: a) no small blobs, b)green small blobs, c)red small blobs and d) both green and red small blobs;  when all 3 images are superimposed. I&#039;ve tried using regionprops centroids but something goes wrong with the loops. Any suggestion? Thank you!</description>
		<content:encoded><![CDATA[<p>Hi Steve,<br />
I have an image with big blue blobs, an image with small red blobs and an image with small green blobs. I want to identify blue blobs that have: a) no small blobs, b)green small blobs, c)red small blobs and d) both green and red small blobs;  when all 3 images are superimposed. I&#8217;ve tried using regionprops centroids but something goes wrong with the loops. Any suggestion? Thank you!</p>
]]></content:encoded>
	</item>
	<item>
		<title>By: Steve</title>
		<link>http://blogs.mathworks.com/steve/2009/02/27/using-ismember-with-the-output-of-regionprops/#comment-24336</link>
		<dc:creator>Steve</dc:creator>
		<pubDate>Mon, 18 Jul 2011 15:55:27 +0000</pubDate>
		<guid isPermaLink="false">http://blogs.mathworks.com/steve/2009/02/27/using-ismember-with-the-output-of-regionprops/#comment-24336</guid>
		<description>Sum&#8212;There isn&#039;t an existing Image Processing Toolbox function that will do it for you automatically. To implement it, I would probably dilate the region, use a logical operation to identify the dilated pixels that are not part of the original region, and then use the locations of those pixels to index into a label matrix to find the labels of adjacent regions. I&#039;ll put this on my list of potential blog topics.</description>
		<content:encoded><![CDATA[<p>Sum&mdash;There isn&#8217;t an existing Image Processing Toolbox function that will do it for you automatically. To implement it, I would probably dilate the region, use a logical operation to identify the dilated pixels that are not part of the original region, and then use the locations of those pixels to index into a label matrix to find the labels of adjacent regions. I&#8217;ll put this on my list of potential blog topics.</p>
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	</item>
	<item>
		<title>By: sum</title>
		<link>http://blogs.mathworks.com/steve/2009/02/27/using-ismember-with-the-output-of-regionprops/#comment-24330</link>
		<dc:creator>sum</dc:creator>
		<pubDate>Mon, 18 Jul 2011 04:17:50 +0000</pubDate>
		<guid isPermaLink="false">http://blogs.mathworks.com/steve/2009/02/27/using-ismember-with-the-output-of-regionprops/#comment-24330</guid>
		<description>For each labelled region is there a way to find a list of regions which surround the region?</description>
		<content:encoded><![CDATA[<p>For each labelled region is there a way to find a list of regions which surround the region?</p>
]]></content:encoded>
	</item>
	<item>
		<title>By: Steve</title>
		<link>http://blogs.mathworks.com/steve/2009/02/27/using-ismember-with-the-output-of-regionprops/#comment-24285</link>
		<dc:creator>Steve</dc:creator>
		<pubDate>Tue, 21 Jun 2011 12:45:11 +0000</pubDate>
		<guid isPermaLink="false">http://blogs.mathworks.com/steve/2009/02/27/using-ismember-with-the-output-of-regionprops/#comment-24285</guid>
		<description>Mutlu&#8212;See my &lt;a href=&quot;http://blogs.mathworks.com/steve/2011/06/21/advanced-maneuvers-with-regionprops/&quot; rel=&quot;nofollow&quot;&gt;21-Jun-2011 post&lt;/a&gt;.</description>
		<content:encoded><![CDATA[<p>Mutlu&mdash;See my <a href="http://blogs.mathworks.com/steve/2011/06/21/advanced-maneuvers-with-regionprops/" rel="nofollow">21-Jun-2011 post</a>.</p>
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	<item>
		<title>By: Mutlu</title>
		<link>http://blogs.mathworks.com/steve/2009/02/27/using-ismember-with-the-output-of-regionprops/#comment-24250</link>
		<dc:creator>Mutlu</dc:creator>
		<pubDate>Mon, 30 May 2011 18:00:58 +0000</pubDate>
		<guid isPermaLink="false">http://blogs.mathworks.com/steve/2009/02/27/using-ismember-with-the-output-of-regionprops/#comment-24250</guid>
		<description>Hi Steve - I have two images - one contains class labels (one of 1 or 2) and one containing image segment (region) unique IDs.  I am trying to use regionprops (or something like regionprops) to figure out most frequently occurring label from the label image per region and generate a new image where each unique region contains this most frequently occurring label.  Is there a way to do this?  Thank you very much.</description>
		<content:encoded><![CDATA[<p>Hi Steve &#8211; I have two images &#8211; one contains class labels (one of 1 or 2) and one containing image segment (region) unique IDs.  I am trying to use regionprops (or something like regionprops) to figure out most frequently occurring label from the label image per region and generate a new image where each unique region contains this most frequently occurring label.  Is there a way to do this?  Thank you very much.</p>
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	<item>
		<title>By: Steve</title>
		<link>http://blogs.mathworks.com/steve/2009/02/27/using-ismember-with-the-output-of-regionprops/#comment-24201</link>
		<dc:creator>Steve</dc:creator>
		<pubDate>Fri, 13 May 2011 14:06:29 +0000</pubDate>
		<guid isPermaLink="false">http://blogs.mathworks.com/steve/2009/02/27/using-ismember-with-the-output-of-regionprops/#comment-24201</guid>
		<description>Maria&#8212;I assume you mean the mean intensity of pixel values in some other grayscale image, since the mean intensity of binary image objects is 1. If the grayscale image is called A, then this would do the trick:

&lt;pre class=&quot;code&quot;&gt;
stats = regionprops(img_bright_bw, A, &#039;MeanIntensity&#039;);
&lt;/pre&gt;</description>
		<content:encoded><![CDATA[<p>Maria&mdash;I assume you mean the mean intensity of pixel values in some other grayscale image, since the mean intensity of binary image objects is 1. If the grayscale image is called A, then this would do the trick:</p>
<pre class="code">
stats = regionprops(img_bright_bw, A, 'MeanIntensity');
</pre>
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	<item>
		<title>By: Mayur</title>
		<link>http://blogs.mathworks.com/steve/2009/02/27/using-ismember-with-the-output-of-regionprops/#comment-23994</link>
		<dc:creator>Mayur</dc:creator>
		<pubDate>Sat, 05 Mar 2011 07:04:01 +0000</pubDate>
		<guid isPermaLink="false">http://blogs.mathworks.com/steve/2009/02/27/using-ismember-with-the-output-of-regionprops/#comment-23994</guid>
		<description>Hey I want to calculate the aspect ratios of bounding boxes of different blobs in my binary image. and then retain only those with aspect ratios less than 0.3. How can i do this. 

How can i convert the structure array of bounding box to a vector..</description>
		<content:encoded><![CDATA[<p>Hey I want to calculate the aspect ratios of bounding boxes of different blobs in my binary image. and then retain only those with aspect ratios less than 0.3. How can i do this. </p>
<p>How can i convert the structure array of bounding box to a vector..</p>
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	</item>
	<item>
		<title>By: Maria</title>
		<link>http://blogs.mathworks.com/steve/2009/02/27/using-ismember-with-the-output-of-regionprops/#comment-23984</link>
		<dc:creator>Maria</dc:creator>
		<pubDate>Mon, 28 Feb 2011 17:28:08 +0000</pubDate>
		<guid isPermaLink="false">http://blogs.mathworks.com/steve/2009/02/27/using-ismember-with-the-output-of-regionprops/#comment-23984</guid>
		<description>Hi, Steve,

I find 5 objects in a binary image. I can get Centroid values of each object. How do I use the property &quot;MeanIntensity&quot; of regionprops() to calculate each object&#039;s mean intensity?

&lt;pre&gt;
[L,N]=bwlabel(img_bright_bw);

stats2=regionprops(L,&#039;Area&#039;, &#039;Centroid&#039;, &#039;BoundingBox&#039;);
stats2=regionprops(L,&#039;all&#039;);
idx = find([stats2.Area] &gt; 50);
ob1=stats2(1).Centroid;

&lt;/pre&gt;

Many thanks!
Maria</description>
		<content:encoded><![CDATA[<p>Hi, Steve,</p>
<p>I find 5 objects in a binary image. I can get Centroid values of each object. How do I use the property &#8220;MeanIntensity&#8221; of regionprops() to calculate each object&#8217;s mean intensity?</p>
<pre>
[L,N]=bwlabel(img_bright_bw);

stats2=regionprops(L,'Area', 'Centroid', 'BoundingBox');
stats2=regionprops(L,'all');
idx = find([stats2.Area] &gt; 50);
ob1=stats2(1).Centroid;
</pre>
<p>Many thanks!<br />
Maria</p>
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	<item>
		<title>By: Christine</title>
		<link>http://blogs.mathworks.com/steve/2009/02/27/using-ismember-with-the-output-of-regionprops/#comment-23850</link>
		<dc:creator>Christine</dc:creator>
		<pubDate>Thu, 13 Jan 2011 11:21:39 +0000</pubDate>
		<guid isPermaLink="false">http://blogs.mathworks.com/steve/2009/02/27/using-ismember-with-the-output-of-regionprops/#comment-23850</guid>
		<description>Ah, so the boarder pixels are part of the object, not around it. Thanks Steve!</description>
		<content:encoded><![CDATA[<p>Ah, so the boarder pixels are part of the object, not around it. Thanks Steve!</p>
]]></content:encoded>
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