传感技术学报2026，Vol.39Issue(3)：571-581,11.DOI:10.3969/j.issn.1004-1699.2026.03.014
基于局部灰度分布特征的自适应立体匹配算法
Adaptive Stereo Matching Algorithm Based on Local Gray Distribution Features
摘要
Abstract
Targeting at the problem that the traditional AD-Census algorithm has low matching accuracy at the edge and smooth area of the image,and it is difficult to make full use of the local grayscale distribution information of the image,an adaptive stereoscopic matc-hing algorithm based on the local grayscale distribution feature is proposed.Firstly,in the cost calculation stage,the local grayscale dis-tribution feature information of the input image is calculated,the adaptive window of the census transform is selected according to the neighborhood grayscale distribution feature of the pixels,and the adaptive setting of the fusion weight of AD cost and census cost is set.Secondly,an aggregation method based on the improved local grayscale distribution feature is constructed by the fusion of the guide filter and the dynamic programming method.Finally,the final parallax results are obtained after parallax calculation and optimization.The ex-perimental results show that the average mismatch rate of the proposed algorithm in the unoccluded area and the whole area is 3.96%and 7.78%,respectively,which has high accuracy and applicability,and has good robustness to noise.关键词
机器视觉/局部灰度分布特征/AD-Census变换/自适应权重/引导滤波Key words
machine vision/local grayscale distribution characteristics/AD-Census transform/adaptive weight/Bootstrap filtering引用本文复制引用
孙虹,吴明晨,周百顺,赵汝海,李永玲,张淼..基于局部灰度分布特征的自适应立体匹配算法[J].传感技术学报,2026,39(3):571-581,11.基金项目
安徽省重点研究与开发计划项目(1804a09020009) （1804a09020009）
安徽省高校自然科学研究重大项目(2023AH040036) （2023AH040036）
安徽高校协同创新项目(GXXT-2022-019,GXXT2023-006,GXXT-2023-025) （GXXT-2022-019,GXXT2023-006,GXXT-2023-025）
过程装备与控制工四川省高校重点实验室开放基金项目(GK202101,GK202308) （GK202101,GK202308）
