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Color-texture based unsupervised segmentation using JSEG with fuzzy connectedness

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4 Author(s)
Yuanjie, Zheng ; Inst. of Image Processing and Pattern Recognition, Shanghai Jiaotong Univ., Shanghai 200030, P. R. China ; Jie, Yang ; Yue, Zhou ; Yuzhong, Wang

Color quantization is bound to lose spatial information of color distribution. If too much necessary spatial distribution information of color is lost in JSEG, it is difficult or even impossible for JSEG to segment image correctly. Enlightened from segmentation based on fuzzy theories, soft class-map is constracted to solve that problem. The definitions of values and other related ones are adjusted according to the soft class-map. With more detailed values obtained from soft class map, more color distribution information is preserved. Experiments on a synthetic image and many other color images illustrate that JSEG with soft class-map can solve efficiently the problem that in a region there may exist color gradual variation in a smooth transition. It is a more robust method especially for images which haven't been heavily blurred near boundaries of underlying regions.

Published in:

Systems Engineering and Electronics, Journal of  (Volume:17 ,  Issue: 1 )

Date of Publication:

March 2006

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