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JDCTA
2010

Color and Texture Feature For Content Based Image Retrieval

8 years 2 months ago
Color and Texture Feature For Content Based Image Retrieval
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.
Jianhua Wu, Zhaorong Wei, Youli Chang
Added 19 May 2011
Updated 19 May 2011
Type Journal
Year 2010
Where JDCTA
Authors Jianhua Wu, Zhaorong Wei, Youli Chang
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