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基于小波多尺度变换和模糊聚类的图像边缘检测研究
引用本文:杨华千,张伟,韦鹏程,陈军.基于小波多尺度变换和模糊聚类的图像边缘检测研究[J].计算机科学,2006,33(1):274-276.
作者姓名:杨华千  张伟  韦鹏程  陈军
作者单位:重庆教育学院计算机与现代教育技术系,重庆,400067;重庆大学计算机科学与工程学院,重庆,400044
基金项目:重庆市科委资助项目;重庆市教委资助项目
摘    要:在分析了小波理论和模糊聚类基础上,本文提出了一种基于小波多尺度变换和模糊聚类的图像边缘检测算法。通过这个算法,不仅可以对整个原始图像进行边缘检测,还能对原始图中满足某种特征的不规则的子图进行边缘检测。最后,把这种算法与一些经典的图像边缘检测做了对比分析,实验结果表明该算法具有较好的图像边缘检测性能。

关 键 词:小波变换  模糊聚类  边缘检测  尺度因子

Research on Image Edge Detection Based on Multiscale Wavelet Transform and Fuzzy Clustering
YANG Hua-Qian,ZHANG Wei,WEI Peng-Cheng,CHEN Jun.Research on Image Edge Detection Based on Multiscale Wavelet Transform and Fuzzy Clustering[J].Computer Science,2006,33(1):274-276.
Authors:YANG Hua-Qian  ZHANG Wei  WEI Peng-Cheng  CHEN Jun
Affiliation:1.Department of Computcr and Modern Education Technology, Chongqing Education College, Chongqing 400067;2.Department of Computer Science and Engineering, Chongqing University, Chongqing 400044
Abstract:Based on analyzing multiscale wavelet transform and fuzzy clustering, an image edge detection approach is proposed in this paper. By this means, we can not only detect the entire edge of original image, but also detect the edge of irregular part of original image, which satisfies some characteristics. Finally, we contrast this approach with some classical detection algorithms respectively. Experimental results show that the proposed approach has a good performance in image edge detection.
Keywords:Wavelet transform  Fuzzy clustering  Edge detection  Scale factor
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