| 2-D mini mumfuzzy entropy method of image thresholding based on genetic algorithm |
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| 作者姓名： | 张兴会 刘玲 |
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| 作者单位： | Tianjin Univ .of Technology and Education，Tianjin Univ .of Technology and Education Tianjin 300222，P. R. China，Tianjin 300222，P. R. China |
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| 基金项目： | This project was supported by Science and Technology Research Emphasis Fund of Ministry of Education(204010) . |
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| 摘 要： | 1 .INTRODUCTIONI mage thresholding1]which extracts the object fromthe backgroundin an input i mage is one of the mostcommon applicationsini mage analysis .For example ,in automatic recognition of machine printed or hand-written texts ,in shape recognition of objects ,and ini mage enhancement ,thresholding is a necessary stepfori mage preprocessing.If the object is clearly distin-guishable from the background, the gray-level his-togram will be bi modal andthe thresholdfor segmen-tation can…
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2-D minimum fuzzy entropy method of image thresholding based on genetic algorithm |
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| Zhang Xinghui,Liu Ling.2-D mini mumfuzzy entropy method of image thresholding based on genetic algorithm[J].Journal of Systems Engineering and Electronics,2005,16(3). |
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| Authors: | Zhang Xinghui Liu Ling |
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| Institution: | Tianjin Univ.of Technology and Education,Tianjin 300222,P.R.China |
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| Abstract: | A new image thresholding method is introduced, which is based on 2 D histgram and minimizing the measures of fuzziness of an input image. A new definition of fuzzy membership function is proposed, it denotes the characteristic relationship between the gray level of each pixel and the average value of its neighborhood. When the threshold is not located at the obvious and deep valley of the histgram, genetic algorithm is devoted to the problem of selecting the appropriate threshold value. The experimental results indicate that the proposed method has good performance. |
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| Keywords: | image thresholding 2 D fuzzy entropy genetic algorithm |
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