测绘通报 ›› 2018, Vol. 0 ›› Issue (5): 25-28.doi: 10.13474/j.cnki.11-2246.2018.0138

• 学术研究 • 上一篇    下一篇

局部相位相关法在密集匹配中的应用及精度分析

邹进贵1,2, 杨义辉1,2, 李琴1,3, 翟若明1,2   

  1. 1. 武汉大学测绘学院, 湖北 武汉 430079;
    2. 武汉大学精密工程与工业测量国家测绘地理信息 局重点实验室, 湖北 武汉 430079;
    3. 辽宁省交通高等专科学校, 辽宁 沈阳 110122
  • 收稿日期:2017-07-24 出版日期:2018-05-25 发布日期:2018-05-31
  • 通讯作者: 杨义辉。E-mail:cugyhyang@163.com E-mail:cugyhyang@163.com
  • 作者简介:邹进贵(1972-),男,博士,教授,主要从事精密工程测量与多传感器集成的测量方法研究。E-mail:jgzou@sgg.whu.edu.cn
  • 基金资助:

    现代城市测绘国家测绘地理信息局重点实验室开放基金(20141203WY)

Application and Precision Analysis of Local Phase Correlation in Dense Matching

ZOU Jingui1,2, YANG Yihui1,2, LI Qin1,3, ZHAI Ruoming1,2   

  1. 1. School of Geodesy and Geomatics, Wuhan University, Wuhan 430079, China;
    2. Key Laboratory of Precise Engineering and Industry Surveying, National Administration of Surveying, Mapping and Geoinformation, Wuhan University, Wuhan 430079, China;
    3. Liaoning College of Communication, Shenyang 110122, China
  • Received:2017-07-24 Online:2018-05-25 Published:2018-05-31

摘要:

传统相位相关算法广泛应用于图像配准与拼接中。本文通过对双目立体像对的加窗二维傅里叶变换,采用局部相位相关法获取互相关功率谱,实现图像局部相位相关,得到图像窗口间的亚像素级平移参数,进而获得窗口中心处的视差值。试验结果表明,在选择合适的窗口尺寸下,该算法匹配精度较高,且对随机噪声和光照变化具有较强的稳健性。

关键词: 立体像对, 窗口傅里叶变换, 相位相关法, 密集匹配

Abstract:

Traditional phase correlation algorithm is widely used in image registration and mosaicking.Based on the windowed Fourier transform of binocular stereopair,this paper realized the local phase correlation in image,and got the sub-pixel translation parameters between the windows by obtaining the cross-correlation power spectrum using the local phase correlation method,so as to calculate the disparity at the center of the window.The experimental results show that the proposed algorithm with appropriate window size has higher matching accuracy and strong robustness to random noise and illumination changes.

Key words: stereopair, windowed Fourier transform, phase correlation method, dense matching

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