| Color Image Enhancement Based onMaximum Fuzzy Entropy |
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| 引用本文： | QU Yi XU Li-hong KANG Qi. Color Image Enhancement Based onMaximum Fuzzy Entropy[J]. 上海大学学报(自然科学版), 2004, 10(Z1): 172-176 |
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| 作者姓名： | QU Yi 3" > 3" face=" Times New Roman" >XU Li-hong 3" > 3" face=" Times New Roman" >KANG Qi 3" > |
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| 作者单位： | QU Yi（Department of Control Science and Engineering, TongjiUniversity, Shanghai 200092, China） XU Li-hong（Department of Control Science and Engineering, TongjiUniversity, Shanghai 200092, China） KANG Qi（Department of Control Science and Engineering, TongjiUniversity, Shanghai 200092, China） |
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| 摘 要： |
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Color Image Enhancement Based on Maximum Fuzzy Entropy |
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| QU Yi,XU Li-hong,KANG Qi. Color Image Enhancement Based on Maximum Fuzzy Entropy[J]. Journal of Shanghai University(Natural Science), 2004, 10(Z1): 172-176 |
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| Authors: | QU Yi XU Li-hong KANG Qi |
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| Abstract: | A color image enhancement approach based on maximum fuzzy entropy and genetic algorithm is proposed in this paper. It enhances color images by stretching the contrast of S and I components respectively in the HSI color representation. The image is transformed from the property domain to the fuzzy domain with S-function. To preserve as much information as possible in the fuzzy the domain, the fuzzy entropy function is used as objective function in a genetic algorithm to optimize three parameters of the S-function. The Sigmoid function is applied to intensify the membership values and the results are transformed back to the property domain to produce the enhanced image. Experiments show the effectiveness of the approach. |
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| Keywords: | color image image enhancement fuzzy entropy genetic algorithm |
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