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基于动态规划与图像分割的立体匹配算法
引用本文:佘科,谢红. 基于动态规划与图像分割的立体匹配算法[J]. 应用科技, 2011, 38(5): 47-51. DOI: 10.3969/j.issn.1009-671X.2011.05.11
作者姓名:佘科  谢红
作者单位:哈尔滨工程大学信息与通信工程学院,黑龙江哈尔滨,150001
摘    要:
针对传统图割立体匹配算法耗时太长以及动态规划立体匹配算法匹配精度不高,且视差图带有条纹瑕疵的问题,提出了一种基于动态规划和图像分割的立体匹配算法.采用自适应多阈值图像分割算法对参考图像进行高效可靠的区域分割,提取边界,使用多种子点动态规划算法精细求取边界上点的视差,并以区域为单元用图割立体匹配算法求取区域内各点的视差,拟合得到图像对的视差图.通过对比,实验结果表明:此算法较传统图割法匹配速度有明显提高,且可以得到匹配精度较高的稠密视差.

关 键 词:自适应阈值分割  动态规划  图割  立体匹配  视差图

Stereo matching algorithm based on dynamic programming and image segmentation
SHE Ke,XIE Hong. Stereo matching algorithm based on dynamic programming and image segmentation[J]. Applied Science and Technology, 2011, 38(5): 47-51. DOI: 10.3969/j.issn.1009-671X.2011.05.11
Authors:SHE Ke  XIE Hong
Affiliation:SHE Ke,XIE Hong(College of Information and Communication Engineering,Harbin Engineering University,Harbin 150001,China)
Abstract:
For the problems that the traditional stereo matching methods based on graph cuts are time consuming,and the dynamic programming stereo matching algorithm has low matching-rate and horizontal streaks of disparity map,this paper puts forward a new stereo matching method based on Dynamic Programming and Image Segmentation.First,the reference image can be divided into many regions efficiently and reliably using the method of Adaptive Multi-threshold Image Segmentation.Then,we extract the region edge,and get th...
Keywords:adaptive multi-threshold image segmentation  dynamic programming  graph cut  stereo matching  disparity map  
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