电子学报Issue(5)：854-861,8.DOI:10.3969/j.issn.0372-2112.2015.05.004
基于轮廓分层描述的目标识别算法研究
Hierarchical Representation Method for Object Recognition
摘要
Abstract
Efficient object contour segment is a critical problem to describe the local features of objects .In order to solve the improper contour segments obtained by the existing recognition methods ,a hierarchical description algorithm of contour description is proposed .Firstly ,the whole contour is divided into several contour segments by the corners on the contour .Then the valuation scale is put forward via the distribution of contour segments .Thirdly ,combine these contour segments into several contour feature segments according to the valuation scale .Finally ,the similarity of different contour feature segments ,in combination with their lengths ,is jointly used to get the best recognized results .The experimental results of MPEG-7 database indicate that this algorithm has great advantage over recently published algorithms ,especially for the objects with partial occlusion .Hence ,this novel algorithm satisfies the requirements of accuracy ,robust and anti-occlusion in object recognition and shape retrieval .关键词
轮廓描述/目标识别/价值尺度/部分遮挡Key words
contour description/object recognition/valuation scale/part occlusion分类
信息技术与安全科学引用本文复制引用
黄伟国,顾超,尚丽,杨剑宇,朱忠奎..基于轮廓分层描述的目标识别算法研究[J].电子学报,2015,(5):854-861,8.基金项目
国家自然科学基金（No ．51405320，No ．61305020，No ．61373098）；江苏省自然科学基金 （）
