计算机工程Issue(5)：285-289,5.DOI:10.3969/j.issn.1000-3428.2015.05.053
一种体视显微图像误匹配消除方法
An Error Match Eliminating Method of Stereo Light Microscopic Images
摘要
Abstract
In order to overcome the difficulty of eliminating stereo mismatching pairs on Scale Invariant Feature Transform( SIFT) feature matching,an algorithm aiming to remove error match pairs of Stereo Light Microscope( SLM) images is proposed. SIFT feature matching pairs are roughly found,and then calculate 3D coordinate of point cloud using SLM calibration parameters. New match pairs can be obtained by projecting the point cloud to left, right images and generate projection vector set by subtracting image coordinate of new projection point from one of original point, respectively. Outliers of magnitude and orientation in left,right projection vector sets are eliminated to remove error match pairs. Experimental result presents that the error pairs removal percentage of experimental images in proposed algorithm reaches 100%,meanwhile it does not eliminate correct matching pairs,improving the precision of stereo match.关键词
投影向量集/误匹配消除/三维点云/标定/尺度不变特征变换/体视显微镜Key words
projection vector set/error match eliminating/3 D point cloud/calibration/Scale Invariant Feature Transform(SIFT)/Stereo Light Microscope(SLM)分类
信息技术与安全科学引用本文复制引用
李论,王一刚,范胜利,白志强,赖建宁..一种体视显微图像误匹配消除方法[J].计算机工程,2015,(5):285-289,5.基金项目
宁波国际合作基金资助项目(2013D10009)。 （2013D10009）
