Stone Images Retrieval Based on Color Histogram

摘要：

Stone images color features are chosen for its retrieval and indexing in this paper. Cross color histogram, annular color histogram, and angular color histogram are respectively combined with HSV color space to accord with humans visual uniformity. In HSV color space, H, S, V three components carry on unequal interval quantization to improve retrieval precision and efficiency, and then different weight values are given and adjusted to different color channel. Stone images are sorted according to their similarity in retrieval results. Experiments showed that cross color histogram in HSV color space has excellent performance on stone images retrieval.

作者: Qiang Zhao Jie Yang Jingyi Yang Hongxing Liu

作者单位: School of Information Engineering, Wuhan University of Technology Wuhan, China

会议类型: 国际会议

会议名称: 2009图像分析与信号处理国际会议(2009 International Conference on Image Analysis and Signal Processing)

会议地点: 浙江台州

会议语种:英文

页码: 157-161

在线出版日期: 2009-04-11（万方平台首次上网日期，不代表论文的发表时间）