基于三像素彩色共生矩阵图像检索.pdf

Computer Science and Application 计算机科学与应用, 2012, 2, 84-89 doi:10.4236/csa.2012.22016 Published Online June 2012 (/journal/csa) Content-Based Image Retrieval Using Three Pixels Color * Co-Occurrence Matrix 1 2 Guanghai Liu , Zuoyong Li 1The College of Computer Science and Information Technology, Guangxi Normal University, Guilin 2Department of Computer Science, Minjiang University, Fuzhou Email: liuguanghai009@163.com, fzulzytdq@126.com Received: Apr. 24th, 2012; revised: May 16th, 2012; accepted: May 27th, 2012 Abstract: A new color descriptor, namely three pixels color co-occurrence matrix, is proposed in this paper. It imple- ments content-based image retrieval via representing the spatial correlation of the same three pixels. The proposed de- scriptor first converts color image from RGB color space to Lab color space. The original color image is then quantized into 90 colors and co-occurrence matrix used for image analysis. Finally, 90-dimensional vector is adopted to describe image features. Image retrieval experimental results shown that the performances of the proposed descriptor are better than that of gray level co-occurrence matrix and MPEG-7 color layout descriptor. It has good discriminative power of color structure distribution, and can combine the color and texture features. Keywords: Image Retrieval; Gray Level Co-Occurrence Matrix; Lab Color Space; Three Pixels Color Co-Occurrence Matrix 基于三像素彩色共生矩阵的图像检索* 1 2 刘广海 ，李佐勇 1 广西师范大学，计算机科学与信息工程学院，