Comments on: Opening by reconstruction http://blogs.mathworks.com/steve/2008/07/14/opening-by-reconstruction/ Steve Eddins manages the Image & Geospatial development team at The MathWorks and coauthored Digital Image Processing Using MATLAB. He writes here about image processing concepts, algorithm implementations, and MATLAB. Sat, 11 Feb 2012 18:27:50 +0000 hourly 1 http://wordpress.org/?v=3.2.1 By: L. Jégou http://blogs.mathworks.com/steve/2008/07/14/opening-by-reconstruction/#comment-24257 L. Jégou Sun, 05 Jun 2011 07:11:25 +0000 http://blogs.mathworks.com/steve/2008/07/14/opening-by-reconstruction/#comment-24257 Thanks for this example, i'm testing the reconstruction operation in an image segmentation process, inspired by : http://rfv.insa-lyon.fr/~jolion/IP2000/report/node41.html Thanks for this example, i’m testing the reconstruction operation in an image segmentation process, inspired by : http://rfv.insa-lyon.fr/~jolion/IP2000/report/node41.html

]]> By: Uma Ranjan http://blogs.mathworks.com/steve/2008/07/14/opening-by-reconstruction/#comment-23665 Uma Ranjan Fri, 29 Oct 2010 13:56:00 +0000 http://blogs.mathworks.com/steve/2008/07/14/opening-by-reconstruction/#comment-23665 The marker image is the one which has the "seed points". The mask image is the original image (in this case, bw). You obviously cannot have seed points which are more than the number of image pixels. The marker image is the one which has the “seed points”. The mask image is the original image (in this case, bw). You obviously cannot have seed points which are more than the number of image pixels.

]]> By: Raymond http://blogs.mathworks.com/steve/2008/07/14/opening-by-reconstruction/#comment-23634 Raymond Thu, 21 Oct 2010 06:46:55 +0000 http://blogs.mathworks.com/steve/2008/07/14/opening-by-reconstruction/#comment-23634 The function need the same size between marker and mask. BTW,the value of marker should be smaller or equal to the mask. The function need the same size between marker and mask. BTW,the value of marker should be smaller or equal to the mask.

]]> By: fer http://blogs.mathworks.com/steve/2008/07/14/opening-by-reconstruction/#comment-22975 fer Mon, 12 Apr 2010 15:06:13 +0000 http://blogs.mathworks.com/steve/2008/07/14/opening-by-reconstruction/#comment-22975 I keep on getting this error message when I try to use imreconstruct: "???MARKER pixels must be <= MASK pixels" Can anybody help me out? I keep on getting this error message when I try to use imreconstruct:

“???MARKER pixels must be <= MASK pixels”

Can anybody help me out?

]]> By: Steve http://blogs.mathworks.com/steve/2008/07/14/opening-by-reconstruction/#comment-20938 Steve Fri, 01 Aug 2008 11:59:12 +0000 http://blogs.mathworks.com/steve/2008/07/14/opening-by-reconstruction/#comment-20938 Shalin—The Image Processing Toolbox function <tt>imclearborder</tt> uses the method you describe to remove objects touching the image border. The function <tt>imreconstruct</tt> supports gray-scale image reconstruction. Shalin—The Image Processing Toolbox function imclearborder uses the method you describe to remove objects touching the image border. The function imreconstruct supports gray-scale image reconstruction.

]]> By: Shalin http://blogs.mathworks.com/steve/2008/07/14/opening-by-reconstruction/#comment-20936 Shalin Fri, 01 Aug 2008 04:38:20 +0000 http://blogs.mathworks.com/steve/2008/07/14/opening-by-reconstruction/#comment-20936 Hi Steve, there is a neat use of opening by reconstruction in counting cells from segmented light microscope images. When quantifying number of cells from a given image, one usually wants to discard the cells that fall on the edge of the image. Those cells may skew the statistics of the measurements being made as they do not present the 'whole' picture. The method works by reconstructing the cells on the edge and then subtracting them from original image. It will be interesting to know if there is an approach to reconstruct gray-scale image? What would we use instead of flood-fill? I first came across this during a talk by Pascal Valloton. Hi Steve, there is a neat use of opening by reconstruction in counting cells from segmented light microscope images. When quantifying number of cells from a given image, one usually wants to discard the cells that fall on the edge of the image. Those cells may skew the statistics of the measurements being made as they do not present the ‘whole’ picture. The method works by reconstructing the cells on the edge and then subtracting them from original image. It will be interesting to know if there is an approach to reconstruct gray-scale image? What would we use instead of flood-fill? I first came across this during a talk by Pascal Valloton.

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