计算机应用与软件2018，Vol.35Issue(4)：215-219,5.DOI:10.3969/j.issn.1000-386x.2018.04.041
基于协同传递机制的形状匹配算法
SHAPE MATCHING ALGORITHM BASED ON COOPERATIVE TRANSMISSION MECHANISM
摘要
Abstract
Contour points distribution histogram (CPDH) is a shape descriptor,but it is sensitive to small deformations and under the big data set under the retrieval effect is not good.A Semi-supervised learning framework based on cooperative transmission mechanism co-transduction combined with CPDH algorithm was proposed.Given the similarity measure of CPDH and the measurement result of another descriptor,for a query image,the most similar target shape to the query image was retrieved iteratively using one of the metric criteria and labelled.Then another similarity measure was used to retrieve and sorted the marked shapes,and vice versa.Compared with the original CPDH,this improved algorithm has better retrieval performance under the big data set (MPEG-7),and the retrieval accuracy is 86％,which is about 10％ higher than the original algorithm.关键词
形状匹配/协同传递/半监督学习/迭代检索/轮廓点分布直方图Key words
Shape matching/Cooperative transmission/Semi-supervised learning/Iterative retrieval/Contour points distribution histogram分类
信息技术与安全科学引用本文复制引用
王江辉,吴小俊..基于协同传递机制的形状匹配算法[J].计算机应用与软件,2018,35(4):215-219,5.基金项目
国家自然科学基金项目(61373055,61672265) （61373055,61672265）
江苏省教育厅科技成果产业化推进项目(JH10-28) （JH10-28）
江苏省产学研创新项目(BY2012059). （BY2012059）
