| 一种基于模糊熵划分的边缘检测算法 |
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| 引用本文： | 饶智勇,颜七笙. 一种基于模糊熵划分的边缘检测算法[J]. 江西科学, 2011, 29(1): 90-92,137 |
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| 作者姓名： | 饶智勇 颜七笙 |
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| 作者单位： | 东华理工大学数学与信息科学学院,江西,抚州,344000 |
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| 基金项目： | 江西省数字国土重点实验室开放研究基金，东华理工大学校长基金 |
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| 摘 要： | 基于信息论中最大熵原理,提出了一种基于梯度图像的模糊划分边缘检测算法。该算法首先根据图像边缘的特点和类型构造出新的梯度算子,再根据梯度图像自然划分以及2-划分的关系得到模糊2-划分条件熵,基于最大模糊条件熵原则实现梯度图像划分中最优阈值的自动选取,实现图像的边缘检测。仿真实验结果比较表明,该算法用于边缘检测能获得较好的效果。
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| 关 键 词： | 梯度图像 模糊熵 边缘检测 隶属度函数 模糊划分 |
An Edge Detection Algorithm Based on Fuzzy Entropy Partition |
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| RAO Zhi-yong,YAN Qi-sheng. An Edge Detection Algorithm Based on Fuzzy Entropy Partition[J]. Jiangxi Science, 2011, 29(1): 90-92,137 |
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| Authors: | RAO Zhi-yong YAN Qi-sheng |
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| Affiliation: | (School of Mathematics ＆ Information Science,East China Institute of Technology,Jiangxi Fuzhou 344000 PRC) |
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| Abstract: | Based on the principle of maximum entropy in information theory,a fuzzy partition algorithm for edge detection is presented.Firstly a novel gradient operator is performed according to the feature of edge pixels.And then using relation of natural partition and 2-partition of gradient image fuzzy 2-partition conditional entropy is proposed.The optimal partition threshold of gradient image is obtained adaptively and image edge is extracted.Finally the experimental results show the proposed algorithm has better performances. |
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| Keywords: | Gradient image Fuzzy entropy Edge detection Membership function Fuzzy partition |
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