DocumentCode
305660
Title
Feature extraction using fuzzy relations for objects of various shapes
Author
Cho, Dong-uk ; Bae, Younglae J.
Author_Institution
Seowon Univ., Chonju, South Korea
Volume
1
fYear
1996
fDate
14-17 Oct 1996
Firstpage
272
Abstract
A method to extract functional primitives using fuzzy relations so as to effectively describe objects of various shapes and appearances is proposed. Object surfaces in a range image are segmented into visual surface regions. The geometric features between these regions are represented as fuzzy functions, which are used to extract functional primitives. This method can efficiently deal with such an object that has various shapes or appearances, and increases the performance of image analysis
Keywords
computational geometry; feature extraction; fuzzy set theory; image segmentation; feature extraction; functional primitives; fuzzy functions; fuzzy relations; range image; visual surface regions; Data mining; Feature extraction; Fuzzy systems; Humans; Image edge detection; Object recognition; Psychology; Shape; Stability; Systems engineering and theory;
fLanguage
English
Publisher
ieee
Conference_Titel
Systems, Man, and Cybernetics, 1996., IEEE International Conference on
Conference_Location
Beijing
ISSN
1062-922X
Print_ISBN
0-7803-3280-6
Type
conf
DOI
10.1109/ICSMC.1996.569779
Filename
569779
Link To Document