http://blogs.mathworks.com/steve/2008/07/14/opening-by-reconstruction/ Steve Eddins manages the Image & Geospatial development team at <a href="http://www.mathworks.com/">The MathWorks</a> and coauthored <a href="http://www.mathworks.com/support/books/book5291.html?category=-1&language=-1">Digital Image Processing Using MATLAB</a>. He writes here about image processing concepts, algorithm implementations, and MATLAB.<br><br><img> Sun, 22 Nov 2009 23:41:21 +0000 http://wordpress.org/?v=2.3.1 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.

]]> 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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