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基于小波和Beamlet变换的图像线特征提取
引用本文:杨玲香,姚斌,赵新俊.基于小波和Beamlet变换的图像线特征提取[J].石河子大学学报,2009,27(5):654-656.
作者姓名:杨玲香  姚斌  赵新俊
作者单位:石河子大学师范学院数学系,石河子832003
摘    要:Beamlet变换是多尺度几何分析的有效工具之一。本文提出了一种基于小波变换和Beamlet的图像线特征提取算法,利用小波变换凸显图像的线特征,再通过Beamlet变换提取图像线特征,实验结果表明了该方法有效。

关 键 词:Beamlet变换  小波变换  特征提取

Line Feature Extraction from Nature Images Based on Wavelet and Beamlet
YANG Lingxiang,YAO Bin,ZHAO Xinjun.Line Feature Extraction from Nature Images Based on Wavelet and Beamlet[J].Journal of Shihezi University(Natural Science),2009,27(5):654-656.
Authors:YANG Lingxiang  YAO Bin  ZHAO Xinjun
Affiliation:( Department Mathematics, Normal College, Shihezi University, Shihezi 832003, China)
Abstract:This paper proposes a method for line feature extraction based on wavelet transform and beamlet transform. First, the wavelet transform is used to highlight the line feature of the image. Then, the beamlet transform is applied to extract the line feature from images. The experiments show that the proposed algorithm can achieve satisfactory performance.
Keywords:beamlet transform  wavelet transform  line feature extraction
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