| Segmentation of Color Image Based on Feature Divergence and Fuzzy Theory |
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| 引用本文： | HI Cheng-xiang,YANG Dan,ZHA Zhen-ji,ZHANG Xiao-hong. Segmentation of Color Image Based on Feature Divergence and Fuzzy Theory[J]. 保鲜与加工, 2007, 0(1): 89-92 |
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| 作者姓名： | HI Cheng-xiang YANG Dan ZHA Zhen-ji ZHANG Xiao-hong |
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| 摘 要： | In order to improve general adaptive capability of algorithm,the new color image segmentation algorithm based on feature divergence and fuzzy theory(FDCIS) is proposed.The algorithm introduces feature divergence and fuzzy dissimilarity function into calculation in order to measure the dissimilarity of feature vector,clusters data by means of feature divergence,and accomplishes the merge of image region.The experimental results demonstrate that the color image segmentation result of the proposed approach reduce calculation on large sample of color image,simply and effectively solve over-segmentation of color image,avoid the dependence of the algorithm on initial condition,and hold favorable consistency in terms of human perception.
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| 关 键 词： | feature divergence fuzzy dissimilarity clustering color image segmentation |
| 修稿时间： | 2006-07-28 |
Segmentation of Color Image Based on Feature Divergence and Fuzzy Theory |
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| HI Cheng-xiang,YANG Dan,ZHA Zhen-ji,ZHANG Xiao-hong. Segmentation of Color Image Based on Feature Divergence and Fuzzy Theory[J]. Storage & Process, 2007, 0(1): 89-92 |
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| Authors: | HI Cheng-xiang YANG Dan ZHA Zhen-ji ZHANG Xiao-hong |
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| Abstract: | In order to improve general adaptive capability of algorithm,the new color image segmentation algorithm based on feature divergence and fuzzy theory(FDCIS) is proposed.The algorithm introduces feature divergence and fuzzy dissimilarity function into calculation in order to measure the dissimilarity of feature vector,clusters data by means of feature divergence,and accomplishes the merge of image region.The experimental results demonstrate that the color image segmentation result of the proposed approach reduce calculation on large sample of color image,simply and effectively solve over-segmentation of color image,avoid the dependence of the algorithm on initial condition,and hold favorable consistency in terms of human perception. |
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| Keywords: | feature divergence fuzzy dissimilarity clustering color image segmentation |
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