自动化学报2012，Vol.38Issue(1)：68-75,8.DOI:10.3724/SP.J.1004.2012.00068
基于模糊形状上下文特征的形状识别算法
Shape Recognition Based on Fuzzy Shape Context
摘要
Abstract
In the process of shape matching based on shape context, each of the samples is directly classified into one bin in the histogram, which leads to the inaccurate feature representation and matching bias results. With fuzzy membership function introduced into log-polar coordinate, fuzzy shape context is constructed based on the histogram which represents the fuzzy partition on the distribution of samples, and shapes can be accurately represented by the descriptor. The sample set is divided into subsets in polar coordinates, and segment matching is proposed for shape matching with incorrect matches eliminated. On this basis, the circular shift matching is adopted for resolving the problem of shape matching in different postures. Experimental results prove that shape recognition and retrieval can be effectively achieved by using the proposed method.关键词
形状匹配/形状上下文特征/模糊形状上下文特征/分割匹配/循环移位匹配Key words
Shape matching/shape context/fuzzy shape context/segment matching/circular shift matching引用本文复制引用
韩敏,郑丹晨..基于模糊形状上下文特征的形状识别算法[J].自动化学报,2012,38(1):68-75,8.基金项目
国家自然科学基金(61074096)资助 （61074096）
