Content-Based Image Retrieval Using Color and Edge Direction Features

摘要：

This paper presents an novel technique that employs both the color and edge direction features for Content-Based Image Retrieval (CBIR). In this method, a given image is first divided into sub-block which has the same size and then the color and edge direction features of each sub-block can be extracted. Next, it constructs a codebook of color feature using clustering algorithm and then each subblock is mapped to the codebook. Finally, it uses the color index codes to image retrieval and uses the edge direction feature as the color features weight which belongs to the same color features sub-block. The effectiveness of this technique is demonstrated with the experiments.

关键词： content-based image retrieval (CBIR) color edge direction feature extraction

作者: Jianlin Zhang Wensheng Zou

作者单位: School of Software Nanchang University Nanchang,330047,PR China Institute of Computer Technology Engineering Nanchang University Nanchang,330029,PR China

会议类型: 国际会议

会议名称: The 2nd IEEE International Conference on Advanced Computer Control(第二届先进计算机控制国际会议 ICACC 2010)

会议地点: 沈阳

会议语种:英文

页码: 459-462

在线出版日期: 2010-03-27（万方平台首次上网日期，不代表论文的发表时间）