| 模糊熵的修改及其在图像分割中的应用 |
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| 引用本文： | 吴成茂. 模糊熵的修改及其在图像分割中的应用[J]. 微电子学与计算机, 2008, 25(1): 25-28,33 |
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| 作者姓名： | 吴成茂 |
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| 作者单位： | 西安邮电学院,电子与信息工程系,陕西,西安,710121 |
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| 摘 要： | 首先将求和模糊熵修改为取小和取大两种类型,其次对其性质进行了探讨,最后用于图像分割中确定阈值化分割图像的最佳阈值.实验结果表明,该修改是可行的,对有些图像相对求和型模糊熵分割法能获得更好的分割效果.
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| 关 键 词： | 图像分割 阈值法 模糊熵 取小运算 取大运算 模糊熵 修改 图像分割 应用 Image Segmentation Application Fuzzy Entropy 分割效果 分割法 结果 实验 阈值化 最佳 分割图像 性质 类型 |
| 文章编号： | 1000-7180（2008）01-0025-04 |
| 收稿时间： | 2007-03-12 |
| 修稿时间： | 2007-03-12 |
Modifying Fuzzy Entropy and Its Application in Image Segmentation |
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| WU Cheng-mao. Modifying Fuzzy Entropy and Its Application in Image Segmentation[J]. Microelectronics & Computer, 2008, 25(1): 25-28,33 |
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| Authors: | WU Cheng-mao |
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| Abstract: | In this paper, classical fuzzy entropy with summing operations is firstly modified into two kinds of new fuzzy entropy that includes minimizing operation or maximizing one. Then their properties are discussed. In the end, they are used to choose optimal thresholds of image thresholding segmentation. Experimental results show that the segmentation quality of some images using new fuzzy entropy thresholding method is better than that of classical fuzzy entropy. |
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| Keywords: | image segmentation thresholding method fuzzy entropy minimizing operation maximizing operation |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
