Improved Local Accumulate Histogram-based Thangka Image Retrieval
This paper has accomplished an improved local accumulate histogram method of Thangka Image Retrieval. First, change the color space from RGB to HSV and divide similar area by the value of the hue reasonably, then it can get six similar intervals which the hue (H) is independent of the value (V)(Saturation (S) is assumed a constant in the beginning). Second, accumulate histogram is applied respectively for H, S and V in each local similar intervals, while S and V are obtained by mapping. Finally, the similarity of each local similar intervals are evaluated with Euclidean distance, before final retrieval result is obtained by setting weight for each result then re-measuring similarity. The experiment shows that this approach is effective not only in retrieving simple natural scenery images but also in retrieving Thangka images with rich color and complex texture.
Local Accumulate Histogram, similar color intervals, Thangka image, mapping retrieval
Xiaojie Li Weilan Wang Wei Yang
Information Technology Institute, Northwest University for Nationalities, Lanzhou, China School of Computer Science and Information Engineering, Northwest University for Nationalities, Lanz
国际会议
2010 International Conference on Image Analysis and Signal Processing(2010 图像分析与信号处理国际会议 IASP 10)
厦门
英文
318-321
2010-04-12（万方平台首次上网日期，不代表论文的发表时间）