摘要
为减少误匹配率,提升视差计算精度,提出了一种改进Census变换与路径代价的立体匹配算法。首先,通过采取设定阈值选取参考像素替换中心像素,并将灰度差绝对值算法(absolute difference,AD)和梯度代价归一化加权融合进行代价计算,以提升视差计算精度,增强算法稳定性;其次,设计了一种根据像素颜色差值确定惩罚因子的方法,实现了对不同区域匹配效果的提升;最后,采用加权中值滤波、视差非连续性调整等进行优化,进一步提升算法性能。在Middlebury 2.0测试平台选取14幅图像验证本文算法的有效性。结果表明:本文算法平均误匹配率为4.89%,有效地减少了误匹配率,视差效果良好。
In order to reduce the mismatching rate and improve the accuracy of disparity calculation,a stereo matching algorithm base on improved Census transform and path cost was proposed.Firstly,a reference pixel is applied to replace the center pixel by setting a threshold to improve the anti-noise ability.The improved Census transform algorithm is normalized weighted fusion with absolute differences(AD)algorithm and gradient information to improve the accuracy of parallax calculation and to enhance the stability of the algorithm.Secondly,a penalty factors determination method based on the pixel color difference on the path is designed to improve the matching effect of different regions.Finally,weighted median filtering and discontinuous disparity adjustment steps are added to further enhance the performance of the algorithm.The effectiveness of the proposed algorithm is verified by using 14 images which are selected from the Middlebury 2.0 test platform.The experimental results show that the average mismatch rate is 4.89%,and the proposed algorithm can effectively reduce the mismatching rate and improve the disparity effect.
作者
韩普
张博
谢鑫
张利剑
朱磊
HAN Pu;ZHANG Bo;XIE Xin;ZHANG Lijian;ZHU Lei(School of Electronics and Information, Xi’an Polytechnic University, Xi’an 710048, China)
出处
《西安工程大学学报》
CAS
2021年第5期34-42,共9页
Journal of Xi’an Polytechnic University
基金
国家自然科学基金(61971339)
陕西省自然科学基础研究计划(2019JQ-361)
陕西省教育厅科研计划项目自然科学专项(19JK0361)。
作者简介
第一作者:韩普(1995—),男,西安工程大学硕士研究生;通信作者:张博(1985—),男,西安工程大学副教授,博士,研究方向为信号检测与图像处理、三维重建等,E-mail:bozhang@xpu.edu.cn。
