Color and texture feature for content based image retrieval

被引：2

作者：

Wu J. ^{[1
]}

Wei Z. ^{[1
]}

Chang Y. ^{[1
]}

机构：

[1] Institute of Electronic and Information Engineering, Key Laboratory of Medical Image Computing (Northeastern University)

来源：

International Journal of Digital Content Technology and its Applications | 2010年 / 4卷 / 03期

关键词：

Content based image retrieval(CBIR); Dual-tree complex wavelet transform(DTVWT); Rotate wavelet filter(RWF);

D O I：

10.4156/jdcta.vol4.issue3.4

中图分类号：

学科分类号：

摘要：

Content based image retrieval (CBIR) has been one of the most important research areas in computer science for the last decade. A retrieval method which combines color and texture feature is proposed in this paper. According to the characteristic of the image texture, we can represent the information of texture by Dual-Tree Complex Wavelet (DT-CWT) transform and rotated wavelet filter (RWF). We choose the color histogram in RGB and HSV color space as the color feature. The experiment results show that this method is more efficient than the traditional CBIR method based on the single visual feature and other methods combining color and texture.

引用

页码：43 / 49

共 12 条

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