A Time Adaptive Self-Organizing Map for Segmenting Color Images into Exactly Two Regions

Author

Shah-Hosseini, Hamed

Author_Institution

Dept. of Electr. & Comput. Eng., Shahid Beheshti Univ., Tehran

Volume

1

fYear

2006

Firstpage

78

Lastpage

83

Abstract

In this paper, a color image segmentation algorithm called "bicolor TASOM" is proposed for segmenting color images into two regions, figure and background. The algorithm uses a modified version of TASOM (time adaptive self-organizing map) network to model the color space. Then, two other algorithms called "real valley algorithm" and "color assignment algorithm" use the neurons of the TASOM network for image segmentation. Bicolor TASOM is tested with synthetic and real color images. The results demonstrate correctness and capability of the proposed algorithm for color image segmentation

Keywords

image colour analysis; image segmentation; self-adjusting systems; self-organising feature maps; time-varying systems; background color image region; bicolor time adaptive self-organizing map; color assignment algorithm; color image segmentation; color space model; figure color image region; real valley algorithm; Color; Image segmentation; Intelligent systems; Noise level;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Systems Design and Applications, 2006. ISDA '06. Sixth International Conference on

Print_ISBN

0-7695-2528-8

Type

conf

DOI

10.1109/ISDA.2006.81

Filename

4021413