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一组基于广义局部沃尔什变换的纹理特征
引用本文:张志龙,沈振康,李吉成.一组基于广义局部沃尔什变换的纹理特征[J].电子与信息学报,2006,28(6):1031-1035.
作者姓名:张志龙  沈振康  李吉成
作者单位:国防科技大学ATR国家重点实验室,长沙,410073;国防科技大学ATR国家重点实验室,长沙,410073;国防科技大学ATR国家重点实验室,长沙,410073
摘    要:该文提出一组基于广义局部沃尔什变换(GLWT)的纹理特征。首先给出局部沃尔什变换(LWT)的定义,并在空域中对其加以推广,用以提取图像的局部纹理信息;然后在一个宏窗口中估计12个GLWT系数的二阶矩作为图像的纹理特征。对这组纹理特征的鉴别性能进行了分析,并与Haralick(1973),Wang Li(1990),以及Yu Hui提出的纹理特征进行了比较。实验结果表明,该文提出的纹理特征具有更好的鉴别性能和分类能力。

关 键 词:图像处理  模式识别  广义局部沃尔什变换  纹理特征
文章编号:1009-5896(2006)06-1031-05
收稿时间:2004-10-21
修稿时间:2005-03-18

A Group of Texture Features Based on Generalized Local Walsh Transform
Zhang Zhi-long,Shen Zhen-kang,Li Ji-cheng.A Group of Texture Features Based on Generalized Local Walsh Transform[J].Journal of Electronics & Information Technology,2006,28(6):1031-1035.
Authors:Zhang Zhi-long  Shen Zhen-kang  Li Ji-cheng
Affiliation:ATR National Laboratory, National University of Defence Technology, Changsha 410073, China
Abstract:A new group of texture features based on Generalized Local Walsh Transform (GLWT) are presented in this paper. Firstly, Local Walsh Transform (LWT) is defined and generalized in spatial domain to extract local texture information. Then, the twelve 2nd order moments of GLWT coefficients are estimated in a macro-window and selected as texture features. The performance of these features in discriminating textures has been evaluated. The textural features from Haralick(1973), Wang Li(1990), Yu Hui has been used for comparison. The experimental results reveal that the texture features presented have the best discriminating performance.
Keywords:Image processing  Pattern recognition  Generalized Local Walsh Transform (GLWT)  Texture features  
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