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小波变换在图象边缘提取中的应用
引用本文:徐继友,朱耆祥.小波变换在图象边缘提取中的应用[J].光电工程,1998,25(4):28-34.
作者姓名:徐继友  朱耆祥
作者单位:中国科学院光电技术研究所
摘    要:详细介绍了小波变换在图象边缘提取中的优越性,在参考大量文献的基础上,小结中出常用于边缘提取的小波函数及其提取的边缘的方法与效果。得出在图象边缘提取中高斯函数一阶导数是一种常用的且较有效的小波函数最后给出用高斯函数一阶导数对静态物体边缘提取的计算机模拟。

关 键 词:图象处理  特征提取  边缘增强  小波变换

The Application of Wavelet Transform to Image Edge Extracting
Xu Jiyou,Zhu Qixiang.The Application of Wavelet Transform to Image Edge Extracting[J].Opto-Electronic Engineering,1998,25(4):28-34.
Authors:Xu Jiyou  Zhu Qixiang
Abstract:The superiority of wavelet transform in image edge extracting is presented in the paper in detail.Based on many references,a wavelet function often used in edge extracting,its method and effects are sum up.A conclusion that the first derivative of Gaussian function used in the image edge extracting is an effective wavelet function in commom use is obtained.The computer simulation results obtained by extracting the static object edge with the first derivative of Gaussian function are given in the end.
Keywords:Image processing  Feature extraction  Edge enhancement  wavelet transform  
本文献已被 CNKI 维普 等数据库收录!
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