Image Retrieval Based on 2D Histogram of Interest Points

摘要：

Interest points are local properties of an image with high informational content. In this paper, we present a new method for image retrieval based on color and distribution of interest points. Firstly, we use Harris corner detector to extract interest points. Secondly, we design a 2D histogram based on interest points to describe an image, which not only takes the local color feature into consideration, but also the space distribution information of interest points. With robustness to image rotation and translation, the 2D histogram avoids the shortcoming of losing the space distribution information in color histogram. Finally, we employ the weighted distance between two 2D histograms to discriminate the similarity between two images. Lots of experimental results based on a database containing 1100 images demonstrate our proposed method has good performance.

作者: MENG Fan-jie GUO Bao-long GUO Lei

作者单位: Institute of Intelligent Control & Image Engineering Xidian University,Xian 710071,China The 705 Research Institute,China Shipbuilding Industry Corporation,Xian

会议类型: 国际会议

会议名称: The Fifth International Conference on Information Assurance and Security(第五届信息保障与安全国际会议)

会议地点: 西安

会议语种:英文

页码: 250-253

在线出版日期: 2009-08-18（万方平台首次上网日期，不代表论文的发表时间）