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.

• Type: Journal
• Year: 2010
• Where: JDCTA
• Authors: Jianhua Wu, Zhaorong Wei, Youli Chang
• Keywords: Color, Content Based Image Retrieval, JDCTA 2010, Traditional Cbir Method