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