segment an image into portions..
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i have a image, please can someone help me, to segment it into regions
i applied otsu threshold binarization to the image, and got a binary image,
from the binary image is it possible to get the top, bottom, left, right and center regions as a box region...
bw = im2bw(Gray, graythresh(Gray));
2 Comments
Michael Haderlein
on 22 Apr 2015
Do you want to do this based on the color (or grayscale) information or just based on the location?
Accepted Answer
Image Analyst
on 22 Apr 2015
Find the centers of each zone automatically. The centroid will be at the center - use regionprops(). The others you can get by using imerode on the binary image to shrink the mask, then take the north, south, east and west pixels. Use find() for that. Now you have the centers of each zone. Then use voronoi() to get the zones themselves.
6 Comments
Image Analyst
on 24 Apr 2015
I will have not much time this weekend. I'm leaving this afternoon to go camping for the weekend, so hopefully you can get it done without me. I haven't used voronoi much lately so I'd have to figure it out just like you, from the help. But I know that it divides an image up into zones based on equidistant lines between points. I think there are examples so hopefully you can figure it out without me.
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