DocumentCode :
1121225
Title :
Compact Region Extraction Using Weighted Pixel Linking in a Pyramid
Author :
Hong, T.H. ; Rosenfeld, Azriel
Author_Institution :
Center for Automation Research, University of Maryland, College Park, MD 20742; National Bureau of Standards, Washington, DC 20234.
Issue :
2
fYear :
1984
fDate :
3/1/1984 12:00:00 AM
Firstpage :
222
Lastpage :
229
Abstract :
This correspondence describes a method of image segmentation based on a ``pyramid´´ of reduced-resolution versions of the image. It defines link strengths between pixels at adjacent levels of the pyramid, based on proximity and similarity, and iteratively recomputes the pixel values and adjusts the link strengths. After a few iterations, the strengths stabilize, and the links that remain strong define subtrees of the pyramid; the leaves of each tree are the pixels belonging to a compact (piece of a) homogeneous region in the image.
Keywords :
Automation; Image representation; Image resolution; Image segmentation; Joining processes; Laboratories; Merging; NIST; Night vision; Pixel; Compact region extraction; image pyramids; multiresolution methods; pixel linking; segmentation;
fLanguage :
English
Journal_Title :
Pattern Analysis and Machine Intelligence, IEEE Transactions on
Publisher :
ieee
ISSN :
0162-8828
Type :
jour
DOI :
10.1109/TPAMI.1984.4767505
Filename :
4767505
Link To Document :
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