DocumentCode :
3450408
Title :
Fuzzy set theoretic approach to computer vision: An overview
Author :
Krishnapuram, Raghu ; Keller, James M.
Author_Institution :
Dept. of Electr. & Comput. Eng., Missouri Univ., Columbia, MO, USA
fYear :
1992
fDate :
8-12 Mar 1992
Firstpage :
135
Lastpage :
142
Abstract :
The authors give an overview of the fuzzy set theoretic approach to computer vision. They discuss the applications of fuzzy set theory in computer vision in the areas of image modeling, preprocessing, segmentation, boundary detection, object/region recognition, and rule-based scene interpretation
Keywords :
computer vision; fuzzy set theory; image recognition; image segmentation; boundary detection; computer vision; fuzzy set theory; image modeling; image processing; image recognition; rule-based scene interpretation; segmentation; Additive noise; Application software; Computer vision; Fuzzy set theory; Fuzzy sets; Image recognition; Image segmentation; Layout; Object detection; Pattern recognition; Uncertainty;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Fuzzy Systems, 1992., IEEE International Conference on
Conference_Location :
San Diego, CA
Print_ISBN :
0-7803-0236-2
Type :
conf
DOI :
10.1109/FUZZY.1992.258608
Filename :
258608
Link To Document :
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