segment an image into portions..
2 Ansichten (letzte 30 Tage)
Ältere Kommentare anzeigen
Elysi Cochin
am 22 Apr. 2015
Bearbeitet: Elysi Cochin
am 7 Mai 2015
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 Kommentare
Michael Haderlein
am 22 Apr. 2015
Do you want to do this based on the color (or grayscale) information or just based on the location?
Akzeptierte Antwort
Image Analyst
am 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 Kommentare
Image Analyst
am 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.
Weitere Antworten (0)
Siehe auch
Kategorien
Mehr zu Voronoi Diagram finden Sie in Help Center und File Exchange
Produkte
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!