摘要
针对图像匹配问题中不能全面考虑图像全局特征与局部特征这一问题,利用SURF算法提取初始特征点,将特征点三角网格化,考虑特征点在三角网格中的拓扑关系,利用网格中每一条边形成的交比这一几何不变量,构建每一个顶点的特征向量,利用这些特征向量实现图像特征点间的匹配,几何特征和拓扑结构的结合可以有效克服传统方法的不足.实验结果表明,方法对于图像模糊、旋转及噪声都具有较好的效果.
The aim of the present work was to solve the problem that global and local features cannot be considered comprehensively in image matching,with initial feature points in the images extracted by SURF algorithm and triangulated later.Considering topological relations of feature points in the mesh,we construct feature vector of each point using cross rations of each edge,i.e.geometric invariance.Image correspondences are acquired by these vectors.Combination of topological relations and geometric features can overcome defects of traditional methods effectively.The method is effective for images with blur,rotation and noise.
作者
张勇
耿国华
ZHANG Yong;GENG Guohua(School of Information Engineering, Chaohu University, 238000,Chaohu, Anhui, China;School of information Science and Technology, Northwest University, 710127, Xi＇an, Shaanxi, China)
出处
《北京师范大学学报（自然科学版）》
CAS
CSCD
北大核心
2018年第2期198-202,共5页
Journal of Beijing Normal University(Natural Science)
基金
国家自然科学基金资助项目(61731015
61373117
61673319
61772421)
安徽省高校自然科学研究重点资助项目(KJ2017A451)
巢湖学院教学团队资助项目(ch16jxtd01)
陕西省科技计划国际合作基金资助项目(2013KW04-04)
关键词
拓扑关系
几何特征
交比
特征点
topological relations
geometric features
cross ratio
feature points
