Stereo matching algorithm based on edge feature of segmented image

被引：0
|
作者：
Zhang, Yi [1 ]
Huang, Cheng-liang [1 ]
Bai, Lian-fa [1 ]
机构：
[1] Nanjing Univ Sci & Technol, Jiangsu Key Lab Spectral Imaging & Intelligent Se, Nanjing 210094, Jiangsu, Peoples R China
来源：
MEASUREMENT TECHNOLOGY AND ENGINEERING RESEARCHES IN INDUSTRY, PTS 1-3 | 2013年 / 333-335卷
关键词：
image segmentation; edge feature; multi-window; weighting factor;
D O I：
10.4028/www.scientific.net/AMM.333-335.948
中图分类号：
TH [机械、仪表工业];
学科分类号：
0802 ;
摘要：
Stereo matching of the disparity discontinuous boundaries and weak texture regions is still a problem of computer vision. Local-based stereo matching algorithm with the advantages of fast speed and high accuracy is the most common method. In order to improve the matching accuracy of the mentioned regions, a stereo matching algorithm based on edge feature of segmented image is proposed. Firstly, the reference image was segmented by Mean-Shift algorithm. Then, support window was dynamically allocated based on edge feature of segmented image. Finally, the disparity distribution of support window was adjusted by introducing weighting factor. The experimental results show that this algorithm can reduce noise and effectively improve the matching accuracy.
引用
收藏
页码：948 / 953
页数：6
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