Vanderbilt
December 19th, 2006, 04:53 PM
Hi, gurus,
I am looking for suitable data structure and efficient algorithms to compute adjacent neighbors of an image segment.
I did mean-shift image segmentation on my source image. Now that segmented regions are labelled and each one has a Region Adjacency List. But my way of building the RAL is quite simple, adjacency is determined solely by local 4-neighbor touchness/or not.
Is there efficient algorithm for incoorporating spatial information of the neighbors as well? In other words, can I efficiently sort the sorrounding neighbors as a sequence of clockwise segments? And find out what's its neighbors in its north, etc?
thanks,
Van
I am looking for suitable data structure and efficient algorithms to compute adjacent neighbors of an image segment.
I did mean-shift image segmentation on my source image. Now that segmented regions are labelled and each one has a Region Adjacency List. But my way of building the RAL is quite simple, adjacency is determined solely by local 4-neighbor touchness/or not.
Is there efficient algorithm for incoorporating spatial information of the neighbors as well? In other words, can I efficiently sort the sorrounding neighbors as a sequence of clockwise segments? And find out what's its neighbors in its north, etc?
thanks,
Van