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