Title :
Fuzzy perceptual organization in image understanding
Author :
Ralescu, Anca L. ; Shanahan, James G.
Author_Institution :
Lab. for Int. Fuzzy Eng. Res., Yokohama, Japan
Abstract :
We explore the use of fuzzy techniques for image understanding via perceptual organization. The framework to compute perceptual organization in the general context of computer vision incorporates a number of concepts from human visual analysis especially the Gestalt laws of organization. Fuzzy techniques are used for the definition and evaluation of the grouping/non-grouping properties as well as for the construction (inference) of structures from grouped input tokens. This approach is illustrated by experiments on 2D images of an office scene environment
Keywords :
computer vision; fuzzy set theory; image processing; inference mechanisms; uncertainty handling; visual perception; 2D images; Gestalt laws; computer vision; fuzzy perceptual organization; fuzzy techniques; grouped input tokens; grouping/non-grouping properties; human visual analysis; image understanding; inference; office scene environment; Computer vision; Data mining; Floors; Fuzzy reasoning; Humans; Laboratories; Layout; Noise reduction; Psychology; Visual perception;
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.1995.410025
