Fuzzy perceptual organization in image understanding

Author

Ralescu, Anca L. ; Shanahan, James G.

Author_Institution

Lab. for Int. Fuzzy Eng. Res., Yokohama, Japan

Volume

5

fYear

1995

fDate

20-24 Mar 1995

Firstpage

25

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;

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.1995.410025

Filename

410025