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一种融合小波变换和数学形态学的图像边缘检测算法
引用本文:胡晓辉,张晓颖,陈俊莲.一种融合小波变换和数学形态学的图像边缘检测算法[J].铁道学报,2011,33(3):45-48.
作者姓名:胡晓辉  张晓颖  陈俊莲
作者单位:兰州交通大学,电子与信息工程学院,甘肃,兰州,730070
基金项目:国家自然科学基金资助项目
摘    要:针对传统图像边缘检测方法中出现噪边、边缘定位不精确等缺点,提出一种融合小波变换和数学形态学的图像边缘检测算法。先将图像进行小波分解,高频部分利用小波模极大值噪声抑制和尺度相关子带关联算法进行边缘检测,可以很好地减弱噪声;低频部分利用修正的形态算子进行形态学边缘检测,能够检测出弱边且定位准确;最后对两种方法得到的边缘图像进行融合。实验结果表明,该算法能有效抑制噪声,提高边缘精度并且定位准确.

关 键 词:边缘检测  小波变换  数学形态学  尺度相关  融合

An Image Edge Detection Algorithm Fused with Wavelet Transform and Mathematical Morphology
HU Xiao-hui,ZHANG Xiao-ying,CHEN Jun-lian.An Image Edge Detection Algorithm Fused with Wavelet Transform and Mathematical Morphology[J].Journal of the China railway Society,2011,33(3):45-48.
Authors:HU Xiao-hui  ZHANG Xiao-ying  CHEN Jun-lian
Institution:HU Xiao-hui,ZHANG Xiao-ying,CHEN Jun-lian(School of Electronic and Information Engineering,Lanzhou Jiaotong University,Lanzhou 730070,China)
Abstract:Considering the disadvantages in the traditional image edge detection methods,such as emergence of noises edges and inaccurate edge location,this paper proposes a fusion edge detection algorithm based on the combination of wavelet transform with the mathematical morphology algorithm to solve the above problems.The image is divided by wavelets,then the algorithm of the wavelet module maximum coefficients combining with the cross-band and cross-scale correlation is applied to the high frequency part of the im...
Keywords:edge detection  wavelet transform  mathematical morphology  scales correlation  fusion  
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