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RANK变换在立体匹配中的应用研究
引用本文:郭龙源,夏永泉,杨静宇.RANK变换在立体匹配中的应用研究[J].系统仿真学报,2007,19(9):2121-2123,2126.
作者姓名:郭龙源  夏永泉  杨静宇
作者单位:南京理工大学计算机科学与技术系,南京,210094
基金项目:国防科技应用基础研究基金
摘    要:通过引入Rank变换,提出了一种基于新的匹配基元的双目立体匹配算法,该算法首先是将灰度图像转换为Rank图像,在此基础上进行匹配,并结合汉明码距离约束条件,减少误匹配率,最后得出视差图.通过对比实验,表明采用这种新的匹配基元进行匹配,与直接采用灰度特征作为匹配基元的算法相比,该方法有更好的抗噪性和匹配准确性.

关 键 词:立体匹配  Rank变换  汉明码  匹配基元  鲁棒性
文章编号:1004-731X(2007)09-2121-03
收稿时间:2006-03-29
修稿时间:2006-03-292006-10-21

Research and Application of Stereo Matching Based on Rank Transform
GUO Long-yuan,XIA Yong-quan,YANG Jing-yu.Research and Application of Stereo Matching Based on Rank Transform[J].Journal of System Simulation,2007,19(9):2121-2123,2126.
Authors:GUO Long-yuan  XIA Yong-quan  YANG Jing-yu
Abstract:New stereo matching approach based on matching primitives from rank transform was proposed. The image was rank transformed from gray-level. Area-matching was processed. After incorrect rate is decreased by Hamming distance constraint, disparity map will be done. The experiment result indicates that the proposed algorithm is the more precise matching and invariance to certain types of image noise than the ones based on intensity.
Keywords:stereo matching  rank transform  Hamming codes  matching primitives  robustness
本文献已被 CNKI 维普 万方数据 等数据库收录!
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