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