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
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;
Conference_Titel :
Southeastcon '92, Proceedings., IEEE
Conference_Location :
Birmingham, AL
Print_ISBN :
0-7803-0494-2
DOI :
10.1109/SECON.1992.202322
