计算机工程 ›› 2018, Vol. 44 ›› Issue (8): 263-267.doi: 10.19678/j.issn.1000-3428.0048671

• 图形图像处理 • 上一篇    下一篇

基于双目视觉的自适应匹配优化方法

黄超,张雨菲   

  1. 中国民航大学 中欧航空工程师学院,天津 300300
  • 收稿日期:2017-09-14 出版日期:2018-08-15 发布日期:2018-08-15
  • 作者简介:黄超(1988—),女,助教、硕士,主研方向为图形图像处理、航空电子;张雨菲,学士。
  • 基金项目:

    中央高校基本科研业务费中国民航大学专项(3122015Z003);中国民航大学科研启动基金(2017QD02S)。

Adaptive Matching Optimization Method Based on Binocular Vision

HUANG Chao,ZHANG Yufei   

  1. Sino-European Institution of Aviation Engineering,Civil Aviation University of China,Tianjin 300300,China
  • Received:2017-09-14 Online:2018-08-15 Published:2018-08-15

摘要:

自适应支持权重(SAW)算法在精度和感光度方面性能较优,但在运行时间方面耗时过长。为此,提出一种优化的自适应支持权重方法。简化ASW算法支持权重公式中的颜色相似度函数,引入左右连续一致性检验,找出初始视差图中的遮挡点并进行遮挡填充。通过中值滤波消除 遮挡填充可能出现的水平条纹并对图像进行平滑化处理。实验结果表明,该方法在支持窗口不变的情况下比ASW算法平均运行时间减少20%,平均误匹配率降低2.76%,且对光照具有良好的鲁棒性。

关键词: 立体匹配, 自适应支持权重, 颜色相似度函数, 左右连续一致性, 遮挡填充, 中值滤波

Abstract:

The Adaptive Support Weight(SAW) algorithm performs better on accuracy and sensitivity,but it takes too much time on running time.Therefore,an optimized adaptive support weighting method is proposed.It simplifies the ASW algorithm to support the color similarity function in the weight formula,introduces the lleft-right continuity consistency check,finds the occluded point in the initial disparity map and performs occlusion filling.The median filter removes the horizontal stripes that may appear in the occluded filling and smooths the image.Experimental results show that the method can reduce the average running time of ASW algorithm by 20% and the average false match rate by 2.76% when the support window is unchanged,and has good robustness to illumination.

Key words: stereo matching, Adaptive Support Weight(SAW), color similarity function, left-right continuity consistency, occluded filling, median filtering

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