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基于多尺度小波与模糊方法的图像边缘检测
引用本文:王畅,李峰. 基于多尺度小波与模糊方法的图像边缘检测[J]. 计算机工程与设计, 2007, 28(10): 2371-2372,2375
作者姓名:王畅  李峰
作者单位:长沙理工大学,计通学院计算机应用系,湖南,长沙,410077;长沙理工大学,计通学院计算机应用系,湖南,长沙,410077
基金项目:湖南省自然科学基金 , 湖南省教育厅科研项目
摘    要:提出了一种基于多尺度小波变换和模糊方法的图像边缘检测算法,它将图像分为高频和低频部分别进行处理,高频部分利用多尺度小波变换进行边缘检测,低频部分利用模糊方法进行边缘检测,并对两种方法得到的边缘图像进行融合,实验结果证明检测出的边缘与其它传统边缘检测算子所获结果得到了很大的改善.

关 键 词:多尺度小波  模糊边缘检测  隶属度函数  图像滤波  图像处理
文章编号:1000-7024(2007)10-2371-02
修稿时间:2006-05-19

Research of image edge detection based on multi-scale wavelet transform and fuzzy methods
WANG Chang,LI Feng. Research of image edge detection based on multi-scale wavelet transform and fuzzy methods[J]. Computer Engineering and Design, 2007, 28(10): 2371-2372,2375
Authors:WANG Chang  LI Feng
Affiliation:Department of Computer Application, Academy of Computer and Communication Engineering, Changsha University of Science and Technology, Changsha 410077, China
Abstract:An new image edge detection method based on the multi-scale wavelet transform algorithm and the fuzzy algorithm is presented. In edge detection, it applies the algorithm of multi-scale wavelet transform to the high frequency part of image and the fuzzy algorithm to the low frequency part of image. Then fusion the two images which from two methods, the experimental result demonstrate the effect of the edge detection is greatlv improved compared with the other traditional edge detection methods.
Keywords:multi-scale wavelet   fuzzy edge detection   membership function   image filtering   image processing
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