DocumentCode
2273566
Title
A fuzzy technique for image segmentation of color images
Author
Moghaddamzadeh, A. ; Bourbakis, N.
Author_Institution
Dept. of Electron. Eng., Binghamton Univ., NY, USA
fYear
1994
fDate
26-29 Jun 1994
Firstpage
83
Abstract
Segmentation is one of the most important image processing steps towards image recognition and understanding. The largest area of an image can be easily segmented (crisp clusters), the association of most of the pixels to different clusters determined. It is the pixels between crisp clusters whose belongingness to adjacent clusters is not so clear. A pixel can belong to the closest cluster or in association with the neighboring pixels generate a new cluster. In this paper a fuzzy technique is presented which resolves these challenges
Keywords
fuzzy set theory; image colour analysis; image recognition; image segmentation; closest cluster; color images; crisp clusters; fuzzy segmentation; fuzzy set theory; image recognition; image segmentation; membership function; pixels; Color; Histograms; Image edge detection; Image processing; Image recognition; Image resolution; Image segmentation; Object segmentation; Pixel; Scattering;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Systems, 1994. IEEE World Congress on Computational Intelligence., Proceedings of the Third IEEE Conference on
Conference_Location
Orlando, FL
Print_ISBN
0-7803-1896-X
Type
conf
DOI
10.1109/FUZZY.1994.343713
Filename
343713
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