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
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;
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
DOI :
10.1109/FUZZY.1994.343713