DocumentCode
3067519
Title
A fuzzy relaxation algorithm for matching imperfectly segmented images to models
Author
Chipman, Laure J. ; Ranganath, K.S.
Author_Institution
Intergraph Corp., Huntsville, AL, USA
fYear
1992
fDate
12-15 Apr 1992
Firstpage
128
Abstract
A graph theoretic approach for matching imperfectly segmented images with stored scene models is presented. The specific segmentation errors addressed are missing objects, extra objects, missing relations, and mismeasured attributes. By combining enhanced fuzzy relaxation and association graph techniques, the method integrates global inter-object relations and local object attributes to obtain more reliable matching
Keywords
fuzzy logic; graph theory; image segmentation; relaxation theory; association graph techniques; extra objects; global inter-object relations; graph theoretic approach; local object attributes; mismeasured attributes; missing objects; missing relations; segmentation errors; segmented image matching; stored scene models; Area measurement; Computer errors; Computer science; Computer vision; Geometry; Image segmentation; Image sensors; Layout; Navigation; Reflectivity;
fLanguage
English
Publisher
ieee
Conference_Titel
Southeastcon '92, Proceedings., IEEE
Conference_Location
Birmingham, AL
Print_ISBN
0-7803-0494-2
Type
conf
DOI
10.1109/SECON.1992.202322
Filename
202322
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