Computer Science

Computer Science ›› 2026, Vol. 53 ›› Issue (6A): 250800043-5.doi: 10.11896/jsjkx.250800043

• Image Processing & Multimedia Technology • Previous Articles     Next Articles

Improved Stereo Matching Algorithm Based on Weighted Guided Image Filtering

ZHANG Ben1, ZHU Denglin2   

  1. 1 College of Rail Transport,Nanjing Vocational Institute of Transport Technology,Nanjing 211188,China
    2 College of Mechanical and Electrical Engineering,Hohai University,Changzhou,Jiangsu 213022,China
  • Online:2026-06-16 Published:2026-06-12
  • About author:ZHANG Ben,born in 1984,Ph.D,assistant professor.His main research in-terests include robotics,image proces-sing and machine vision.
  • Supported by:
    Natural Science Foundation of the Jiangsu Higher Education Institutions of China(18KJD510008).

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Abstract: In order to achieve real-time and effective stereo matching,this paper proposes a local stereo matching algorithm based on weighted guided filtering based on the existing local stereo matching algorithms.Firstly,the matching costs are computation based on multi-measures.Then in the cost aggregation stage,the weighted guided filtering method is used to guide the filtering,the regularization parameters are adjusted adaptively to achieve more accurate cost aggregation by Canny method.Finally,disparity maps obtained by WTA optimization strategy are processed by densification after LRC.The proposed algorithm is applied to stereo matching of images in Middlebury database,and the experimental results verify that the proposed algorithm is effective and robustness.

Key words: Stereo matching, Local matching, Guided filtering, Weighting factor

CLC Number: 

  • TN911.73
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