DocumentCode
293540
Title
Image occlusions as a fuzzy reasoning problem
Author
Law, Todd ; Itoh, Hidenori ; Seki, Hirohisa
Author_Institution
Dept. of Intell. & Comput. Sci., Nagoya Inst. of Technol., Japan
Volume
4
fYear
1995
fDate
20-24 Mar 1995
Firstpage
2045
Abstract
The analysis of images which include partially occluded objects must necessarily deal with incomplete information. Fuzzy reasoning is a natural tool for such an application. In this paper, we formulate a method using fuzzy reasoning to recognize various instances of occlusion. The method makes use of image grey levels, triple point incident angles, and curvature of completed objects to evaluate candidate configurations. Furthermore, we implement this method and evaluate it on real test images
Keywords
fuzzy logic; image processing; complete object curvature; fuzzy reasoning problem; image grey levels; image occlusions; partially occluded objects; triple point incident angles; Character recognition; Data analysis; Fuzzy reasoning; Humans; Image analysis; Image segmentation; Information analysis; Object recognition; Shape; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Systems, 1995. International Joint Conference of the Fourth IEEE International Conference on Fuzzy Systems and The Second International Fuzzy Engineering Symposium., Proceedings of 1995 IEEE Int
Conference_Location
Yokohama
Print_ISBN
0-7803-2461-7
Type
conf
DOI
10.1109/FUZZY.1995.409959
Filename
409959
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