DocumentCode :
1114746
Title :
Shape Matching Using Relaxation Techniques
Author :
Davis, Larry S.
Author_Institution :
Department of Computer Science, University of Texas at Austin, Austin, TX 78712.
Issue :
1
fYear :
1979
Firstpage :
60
Lastpage :
72
Abstract :
The problem of finding approximate matches of pieces of shapes to parts of larger shapes is investigated. The shapes are represented by polygonal approximations. Initially, figures of merit are assigned to the matches between pairs of angles on the two shapes. Relaxation methods are then used to find acceptable combinations of these matches. This approach was tested on a data base consisting of digitized coastlines in various map projections. In nearly all cases, all matches except the correct one were eliminated by the relaxation processes.
Keywords :
Computer science; Image analysis; Image segmentation; Labeling; Noise shaping; Relaxation methods; Remote sensing; Satellites; Shape measurement; Testing; Image processing; matching; relaxation techniques; search procedures; shape;
fLanguage :
English
Journal_Title :
Pattern Analysis and Machine Intelligence, IEEE Transactions on
Publisher :
ieee
ISSN :
0162-8828
Type :
jour
DOI :
10.1109/TPAMI.1979.4766876
Filename :
4766876
Link To Document :
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