一种采用Gabor小波的纹理特征提取方法

张  刚; 马宗民

doi:10.11834/jig.20100210

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一种采用Gabor小波的纹理特征提取方法
An Approach of Using Gabor Wavelets for Texture Feature Extraction
2010年15卷第2期页码：247
纸质出版：2010
DOI： 10.11834/jig.20100210
稿件说明：

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张刚, 马宗民. 一种采用Gabor小波的纹理特征提取方法[J]. 中国图象图形学报, 2010,15(2):247. DOI： 10.11834/jig.20100210.

An Approach of Using Gabor Wavelets for Texture Feature Extraction[J]. Journal of Image and Graphics, 2010, 15(2): 247. DOI： 10.11834/jig.20100210.

摘要

Gabor小波是一种重要的纹理特征提取方法。利用其基函数的正交性，Gabor小波不仅可以有效地提取纹理特征，而且可以消除冗余信息。然而，采用Gabor小波方法计算得到的纹理特征向量具有较高的维数，因此，提出一种采用Gabor小波的纹理特征提取方法。该方法采用Gabor小波方法计算不同尺度和方向的能量信息，根据这些信息确定了显著峰集合。根据显著峰集合，确定了纹理特征向量，并且把显著性作为权重引入到相似性度量。实验结果表明，采用该方法的系统具有和采用直接Gabor小波变换方法的系统近似相同的检索性能，而纹理特

Abstract

Gabor wavelets are one of the important approaches to texture feature extraction. Through the orthogonality of its base functions

the Gabor wavelets can not only extract texture features effectively

but also reduce redundancy. However

the texture feature vector computed from the Gabor wavelets has higher dimension. An approach using modified Gabor wavelets is presented in the paper. The approach uses the Gabor wavelets to compute energy of different scales and different directions

and the dominant peak set. Then the texture feature vector is computed from the dominant peak set. Furthermore

standardized energy is introduced into similarity measure as weights. Experiments show that the system that uses the modified Gabor wavelets has about the same retrieval performance as that uses the Gabor wavelets. However

the dimension of the texture feature vector of the former is only 6.1% of that of the latter.