自动化学报2017，Vol.43Issue(10)：1749-1758,10.DOI:10.16383/j.aas.2017.c160302
一种基于改进地貌形状上下文的形状匹配方法
Shape Matching Method Based on Improved Aspect Shape Context
摘要
Abstract
In shape matching method based on aspect shape context,it is time consuming to calculate the geodesic distances on the aspect spaces,and the process of shape feature extraction is inefficient.To solve this problem,this paper proposes a fast shape method based on aspect fuzzy shape context.During the process of shape feature extraction,the geodesic distances between sample points on the shape contour can be effectively obtained by using the shortest path algorithm,and log-polar fuzzy histogram is further introduced to construct aspect fuzzy shape context,and the description ability is improved with the sample point distributions represented precisely.With the orders of sample points,the dynamic programming method is employed to analyze the correspondence between shape segments in different aspect spaces,and the shape matching result can be obtained accurately.With the proposed method tested on different shape databases,the computation efficiency can be effectively improved and desirable shape retrieval results can be achieved.关键词
形状匹配/地貌空间/最短路径/模糊直方图/地貌模糊形状上下文Key words
Shape matching/aspect space/shortest path/fuzzy histogram/aspect fuzzy shape context (AFSC)引用本文复制引用
刘望舒,郑丹晨,韩敏..一种基于改进地貌形状上下文的形状匹配方法[J].自动化学报,2017,43(10):1749-1758,10.基金项目
国家自然科学基金(61374154),中央高校基本科研业务费专项资金(DUT16RC(4)18)资助 （61374154）
Supported by National Natural Science Foundation of China (61374154) and Fundamental Research Funds for the Central Universities (DUT16RC(4)18) （61374154）
