结合领域知识和多特征表示的唐卡破损区域分割算法  

Damaged region segmentation of Thangka based on domain knowledge and multi-feature

作　　者：胡文瑾[1,2] 王维兰[1] 刘仲民[2] 

机构地区：[1]西北民族大学数学与计算机科学学院,甘肃兰州730030 [2]兰州理工大学电气工程与信息工程学院,甘肃兰州730050

出　　处：《中南大学学报（自然科学版）》2016年第7期2326-2333,共8页Journal of Central South University:Science and Technology

基　　金：国家自然科学基金资助项目(61561042);中央高校基本科研业务费专项资金项目(31920150082)~~

摘　　要：针对佛像类唐卡中出现的一致性破损区域的分割进行研究。首先对头光区域投影,利用一维函数对称性检测方法得到图像的对称轴,提出基于对称轴的分块分割方法得到初始分割结果;然后利用Gabor变换提取纹理特征,结合Lab空间颜色特征,构造多尺度多特征集合,最后采用K最近邻分类算法(K-Nearest Neighbor,KNN)得到一致性破损区域的模板。研究结果表明:该方法对于具有对称性的佛像类破损唐卡图像中出现的一致性破损区域的分割效果良好。A method was proposed to segment the consistent broken area of Buddha Thangka. Firstly, the head light area was projected and the symmetry axis was obtained by one-dimensional function symmetry detection method, and then the initial segmentation result was received based on the symmetric axis block segmentation. Secondly, the texture feature was extracted by Gabor transform, and the multi-scale features set was constructed combined with the Lab color space feature. The consistent broken area template was ultimately achieved by K-Nearest Neighbor （KNN） classification. The results show that this algorithm has an effective segmentation on the consistent broken area of the Buddha Thangka.

关 键 词：唐卡 一致性破损区域 图像分割 镜像对称 多特征表示 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]