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| 一种基于代价函数和模糊熵的图像分割方法 | |
| 引用本文： | 王保平,范九伦,谢维信,吴成茂.一种基于代价函数和模糊熵的图像分割方法[J].光子学报,2003,32(12):1502-1505. |
| 作者姓名： | 王保平 范九伦 谢维信 吴成茂 |
| 作者单位： | 1. 西安电子科技大学电子工程学院,西安,710071 2. 西安邮电学院信控系,西安,710068 3. 深圳大学信息工程学院,深圳,518060 |
| 基金项目： | 国家自然科学基金项目 (6 9972 0 4 1) |
| 摘 要： | 提出了一种基于代价函数和模糊熵的图像分割方法.该方法先用代价函数最小化法对退化的图像作预处理,之后,利用模糊熵作进一步的处理.实验结果表明:新方法和一般的阈值分割方法相比,不但分割图像的错分率较小,而且图像的视觉效果也有较大的改善. |
| 关 键 词： | 代价函数 模糊熵 图像分割 |
| 收稿时间： | 2003/1/3 |
| 修稿时间： | 2003年1月3日 |
An Image Segmentation Method Based on Cost Function and Fuzzy Entropy |
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| Wang Baoping,Fan Jiulun,Xie Weixin,Wu Chengmao.An Image Segmentation Method Based on Cost Function and Fuzzy Entropy[J].Acta Photonica Sinica,2003,32(12):1502-1505. | |
| Authors: | Wang Baoping Fan Jiulun Xie Weixin Wu Chengmao |
| Institution: | 1. School of Electronics Engineering, Xidian University, Xi′an 710071;2. Department of Information and Control, Xi′an Institute of Post and Telecommunications, Xi′an 710061;3. Institute of Information Engineering, Shenzhen University, Shenzhen 518060 |
| Abstract: | Image segmentation is not realized by normal threshold segmentation when objective and background heavily overlap each other. In order to solve this problem, a novel image segmentation approach based on fuzzy entropy and cost function is presented. Firstly, the new method makes pre-processing to corrupted image by method of cost function minimum, secondly, makes further processing using fuzzy entropy. Experimental result shows that the new method not only gives superiority on visual sense effect of image compared with normal thresholding segmentation, but also makes the error classify rate of segmentation image become small. |
| Keywords: | Cost function Fuzzy entropy Image segmentation |
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