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Multilevel thresholding method based on fuzzy Renyi entropy for gray-level images

被引：1
|
作者：
Nie F.-Y. [1 ,2 ]
Gao C. [1 ]
Guo Y.-C. [1 ]
机构：
[1] Key Lab of Optoelectronic Technology and Systems, Coll. of Opto-electronic Engineering, Chongqing Univ.
[2] Coll. of Computer, Hunan Univ. of Arts and Science
来源：
Xi Tong Gong Cheng Yu Dian Zi Ji Shu/Systems Engineering and Electronics | 2010年 / 32卷 / 05期
关键词：
Differential evolution; Fuzzy set; Image processing; Renyi entropy; Threshold segmentation;
D O I：
10.3969/j.issn.1001-506X.2010.05.038
中图分类号：
学科分类号：
摘要：
In order to overcome the deficiency of Renyi entropy-based thresholding method on images with inherent fuzzy characteristics, a valid multilevel thresholding method based on fuzzy set theory is presented. The Renyi entropies of fuzzy partitions are defined when the image is converted to the fuzzy domain, and then the image is segmented by maximum entropy principle. In addition, the differential evolution algorithm is used to search the optimal thresholds and improve the computational efficiency in implementation of the proposed method. Experimental results on both synthetic and real images demonstrate the effectiveness of the proposed method. Meanwhile, the proposed method satisfies the time performance requirements of image segmentation when the differential evolution algorithm is used.
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页码：1055 / 1059
页数：4
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