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小波分析在图像边缘检测中的应用
引用本文:苗亮亮,李山,苏宪龙,陈少航.小波分析在图像边缘检测中的应用[J].重庆工学院学报,2008,22(3):62-64.
作者姓名:苗亮亮  李山  苏宪龙  陈少航
作者单位:重庆工学院 重庆400050
摘    要:针对传统滤波方法消除噪声会产生边缘模糊化和如何选择边缘窗口,对含有细节较多的图像效果不佳等问题.将小波分析方法应用于图像边缘检测领域,小波分析的多尺度算子在抗噪声和保留图像边缘的能力上有比较好的效果.对Circuit图像做计算机模拟,结果证明,小波分析可在去除噪声的同时更好地保留原图像边缘.

关 键 词:小波分析  边缘检测  多尺度

Application of Wavelet Analysis in Image Edge Detection
MIAO Liang-liang,LI Shan,SU Xian-long,CHEN Shao-hang.Application of Wavelet Analysis in Image Edge Detection[J].Journal of Chongqing Institute of Technology,2008,22(3):62-64.
Authors:MIAO Liang-liang  LI Shan  SU Xian-long  CHEN Shao-hang
Abstract:Traditional filtering method to eliminate noise will bring the question of edge fuzzed and how to choose the window of edge etc.and the effect is not good for image with more details.By applying wavelet analysis method to image edge detection,multi scale operator of wavelet analysis functions well for noise resisting ability and picture edge reserving.By computer simulation on circuit image,the experimental results show that by wavelet analysis the noise is resisted meanwhile the picture edge reserving ability is improved.
Keywords:wavelet analysis  edge detection  multi scale
本文献已被 CNKI 维普 等数据库收录!
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