红外与毫米波学报2018，Vol.37Issue(1)：72-79,86,9.DOI:10.11972/j.issn.1001-9014.2018.01.014
基于主曲率增强距离变换的形状相似性度量方法
Shape similarity measure method based on principal curvature enhancement distance transformation
摘要
Abstract
The conventional shape similarity measurements face the problems of robustness and accuracy in noise interference,partial information occlusion and missing situation.A method of shape similarity measurement based on principal curvature enhancement distance transformation is proposed.The distance transformation is carried out to extend the range of the shape contour,improving the robustness of the similarity measure.The distance map is enhanced by the principal curvature of the shape contour,improving the response of rich information contours in the transformation map,and enhancing the accuracy of measurement results.Simulation experiments show that the robustness and accuracy of the method in the situation of noise interference and partial contour occlusion or absence are verified.Application experiments of road vector and GPS signal and optical remote sensing image show that the method is effective in practical application.Compared with traditional shape similarity measure methods,the method based on principal curvature enhancement distance transformation is suitable for the non-rigid target shape similarity measure,and the robustness and accuracy are better.关键词
形状相似性/匹配/距离变换/主曲率Key words
shape similarity/matching/distance transformation/principal curvature分类
信息技术与安全科学引用本文复制引用
王峰,尤红建,仇晓兰,姚星辉..基于主曲率增强距离变换的形状相似性度量方法[J].红外与毫米波学报,2018,37(1):72-79,86,9.基金项目
国家重点研发计划资助(2017YFB0502901)Supported by the National Key R&D Program of China (2017YFB0502901) （2017YFB0502901）
