segment an image into portions..
2 visualizaciones (últimos 30 días)
Mostrar comentarios más antiguos
Elysi Cochin
el 22 de Abr. de 2015
Editada: Elysi Cochin
el 7 de Mayo de 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 comentarios
Michael Haderlein
el 22 de Abr. de 2015
Do you want to do this based on the color (or grayscale) information or just based on the location?
Respuesta aceptada
Image Analyst
el 22 de Abr. de 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 comentarios
Image Analyst
el 24 de Abr. de 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.
Más respuestas (0)
Ver también
Categorías
Más información sobre Voronoi Diagram en Help Center y File Exchange.
Productos
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!