AN IMPROVED IMAGE RETRIEVAL ALGORITHM

摘要：

In this paper, HSV color model is selected to verify other links to the choice of methods. Next, the color space is quantized and the quantization standard can be divided into equidistant quantification and nonequidistant quantification. The after is choosing proper feature extraction method. In the choice of similarity measure, this paper compares Euclidean distance and the weighted distance, and then concludes the more effective retrieval results. Finally, through the contrast, this paper chooses the optimal image retrieval algorithm: HSV color modelLocal accumulate histogram- Euclidean distance- nonequidistant quantification.

关键词： HSV color model histogram Euclidean distance Equidistant quantification

作者: GUANGWEN ZHANG LEI YANG JUN ZHAI HUI LI YLEPING LLAN

作者单位: Information Engineering School of Communication University of China

会议类型: 国际会议

会议名称: 3rd International Conference on Mechanical and Electrical Technology(ICMET2011) (2011第三届机械与电气技术国际会议)

会议地点: 大连

会议语种:英文

页码: 695-700

在线出版日期: 2011-08-26（万方平台首次上网日期，不代表论文的发表时间）