| 基于模糊熵和分形维度的边缘检测算法 |
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| 引用本文： | 陈湘涛,陈玉娟,李明亮.基于模糊熵和分形维度的边缘检测算法[J].计算机工程,2010,36(23):202-203,206. |
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| 作者姓名： | 陈湘涛 陈玉娟 李明亮 |
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| 作者单位： | (1.湖南大学计算机与通信学院， 长沙 410082； 2.中南大学信息科学与工程学院， 长沙 410083) |
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| 基金项目： | 国家自然科学基金资助项目 |
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| 摘 要： | 当图像中噪声与边缘强度相差不大时，用LFFD算法检测边缘时会扩大噪声。针对该问题，给出一种抗噪声的边缘检测算法(EFFD)。该改进算法通过使用模糊熵来抑制噪声扩大，用分形维度来描述图像的局部特征。通过对不带噪声和带有椒盐噪声的图像的边缘检测，说明EFFD在带噪声的图像中可以抑制噪声扩大，获得较好的边缘特征。
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| 关 键 词： | 边缘检测 计盒维 局部模糊分形维 模糊熵 |
Edge Detection Algorithm Based on Fuzzy Entropy and Fractal Dimension |
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| CHEN Xiang-tao,CHEN Yu-juan,LI Ming-liang.Edge Detection Algorithm Based on Fuzzy Entropy and Fractal Dimension[J].Computer Engineering,2010,36(23):202-203,206. |
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| Authors: | CHEN Xiang-tao CHEN Yu-juan LI Ming-liang |
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| Affiliation: | (1.School of Computer and Communication, Hunan University, Changsha 410082, China;
2.School of Information Science and Engineering, Central South University, Changsha 410083, China) |
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| Abstract: | If the difference of intensity of noise and edge strength is not significant in image,Local Fuzzy Fractal Dimension（LFFD） can make noise larger.For this problem,EFFD algorithm which can reduce image noise availably is proposed.The improved algorithm uses fuzzy entropy to suppress the noise increased,and uses the fractal dimension to describe the image local characteristics.Through edge detection of the noise and salt-pepper noise images,experimental results show that the algorithm can suppress the noise expanded to obtain better edge features in the noise image. |
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| Keywords: | edge detection box-counting fractal local fuzzy fractal dimension fuzzy entropy |
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