DocumentCode :
1124417
Title :
A Pyramid-Based Approach to Segmentation Applied to Region Matching
Author :
Grosky, William I. ; Jain, Ramesh
Author_Institution :
Department of Computer Science, Wayne State University, Detroit, MI 48202.
Issue :
5
fYear :
1986
Firstpage :
639
Lastpage :
650
Abstract :
In this paper, we attempt to place segmentation schemes utilizing the pyramid architecture on a firm footing. We show that there are some images which cannot be segmented in principle. An efficient segmentation scheme is also developed using pyramid relinking. This scheme will normally have a time complexity which is a sublinear function of the image diameter, which compares favorably to other schemes. The efficacy of our approach to segmentation using pyramid schemes is demonstrated in the context of region matching. The global features we use are compared to those used in previous approaches and this comparison will indicate that our approach is more robust than the standard moment-based techniques.
Keywords :
Application software; Computer architecture; Computer graphics; Computer vision; Explosions; Image segmentation; Iterative algorithms; Parallel processing; Robot vision systems; Robustness; Pyramid architectures; pyramid relinking; region matching; segmentation;
fLanguage :
English
Journal_Title :
Pattern Analysis and Machine Intelligence, IEEE Transactions on
Publisher :
ieee
ISSN :
0162-8828
Type :
jour
DOI :
10.1109/TPAMI.1986.4767837
Filename :
4767837
Link To Document :
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