Comments on: False-color visualization of binary image object sets http://blogs.mathworks.com/steve/2008/06/25/false-color-vis/ 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> Mon, 23 Nov 2009 01:46:52 +0000 http://wordpress.org/?v=2.3.1 By: Steve http://blogs.mathworks.com/steve/2008/06/25/false-color-vis/#comment-20884 Steve Thu, 17 Jul 2008 13:06:20 +0000 http://blogs.mathworks.com/steve/2008/06/25/false-color-vis/#comment-20884 Ted—Thanks. Ted—Thanks.

]]> By: Ted http://blogs.mathworks.com/steve/2008/06/25/false-color-vis/#comment-20883 Ted Wed, 16 Jul 2008 22:10:09 +0000 http://blogs.mathworks.com/steve/2008/06/25/false-color-vis/#comment-20883 Much simpler: 1. Append 1 pixel white border to original image 2. Flood fill starting from upper left hand white pixel (0,0) with purple. The 1 pixel border added guarantees that all rice grains touching the edge get filled with purple. 3. Replace white with aquamarine 4. Remove 1 pixel from each of the 4 sides Longer alternative series of steps given I is input image 1. A = I with edge touching elements removed 2. B = I minus A 3. C = A with white replaced with green 4. D = B with white replaced with purple 5. RESULT = C + D Much simpler:
1. Append 1 pixel white border to original image
2. Flood fill starting from upper left hand white pixel (0,0) with purple. The 1 pixel border added guarantees that all rice grains touching the edge get filled with purple.
3. Replace white with aquamarine
4. Remove 1 pixel from each of the 4 sides

Longer alternative series of steps given I is input image
1. A = I with edge touching elements removed
2. B = I minus A
3. C = A with white replaced with green
4. D = B with white replaced with purple
5. RESULT = C + D

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