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
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;
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
DOI :
10.1109/FUZZY.1995.409959
