计算机应用与软件2016，Vol.33Issue(3)：217-221,5.DOI:10.3969/j.issn.1000-386x.2016.03.050
基于改进的种子点扩展自适应立体匹配算法
ADAPTIVE STEREO MATCHING ALGORITHM BASED ON IMPROVED SEED POINTS EXPANSION
李鹏格 1戴本祁1
作者信息
- 1. 华东理工大学信息科学与工程学院 上海 200237
- 折叠
摘要
Abstract
Since the image in different regions has different texture intensity,therefore the algorithm using a size-fixed window can’t take into account the regions with different textures,and its matching precision is low in disparity discontinuities regions.To solve these problems, in this paper we propose a new algorithm which combines adaptive window and adaptive weight,and uses the means of seed point expansion. First,we distinguish the consecutive points and isolated points with cross-adaptive window method,and use different processing approaches for different classification points.Secondly,for each pixel point we use the improved adaptive weight method to match it.Finally,we present a new disparity optimisation approach of seed points expansion to refine the raw disparity map.Experimental results show that the phenomenon of mismatching the texture intensity region and disparity discontinuities region in disparity map has been improved.The algorithm can effectively process the problem of uneven texture distribution in image,and raise the matching precision in disparity discontinuities region.关键词
交叉自适应窗口/自适应权重/孤立点/种子点Key words
Cross-adaptive window/Adaptive weight/Isolated point/Seed point分类
信息技术与安全科学引用本文复制引用
李鹏格,戴本祁..基于改进的种子点扩展自适应立体匹配算法[J].计算机应用与软件,2016,33(3):217-221,5.
