中国空间科学技术2024，Vol.44Issue(3)：157-166,10.DOI:10.16708/j.cnki.1000-758X.2024.0049
基于非线性各向异性滤波的图像特征匹配算法
Image feature matching algorithm based on nonlinear anisotropic filtering
摘要
Abstract
Image matching is the key technology in augmented reality system,and matching accuracy is the key to improving the performance of feature matching.A multi-scale feature matching enhancement algorithm(I-AKAZE)is proposed.By improving the conduction function in the process of nonlinear anisotropic filtering,the nonlinear diffusion speed in the region with large gradient value of the image is slowed down,and the edge features of the matched image are retained to a great extent.At the same time,combined with the improved nonlinear quantization accelerated robust feature descriptor(NLG-SURF),the recognition rate of the descriptor is improved.The experimental results show that the repeatability score of I-AKAZE algorithm on Mikolajczyk data set is greatly improved compared with the current advanced AKAZE algorithm,that the average recognition rate of the corresponding feature descriptors is increased by 8.4％,and that the running speed is about 600 ms faster than that of the classic SIFT algorithm.The overall performance of the algorithm is improved in the detection and description stages.关键词
特征检测/特征描述符/非线性各向异性滤波/尺度空间/传导函数Key words
feature detection/feature descriptor/nonlinear filtering/scale space/conduction function分类
信息技术与安全科学引用本文复制引用
李华,杨杨,陈雨杰..基于非线性各向异性滤波的图像特征匹配算法[J].中国空间科学技术,2024,44(3):157-166,10.基金项目
国家自然科学基金(U19A2063) （U19A2063）
吉林省科技厅自然科学基金项目(20210101412JC) （20210101412JC）
吉林省教育厅科学技术研究规划项目(JJKH20210845KJ) （JJKH20210845KJ）
