光照不均匀的结构光图像的条纹快速提取方法  

Fast Stripe Extraction Method for Structured Light Images with Uneven Illumination

作　　者：郑红波[1] 石豪 杜轶诚[1] 张美玉[1] 秦绪佳[1] ZHENG Hong-bo;SHI Hao;DU Yi-cheng;ZHANG Mei-yu;QIN Xu-jia(College of Computer Science and Technology,Zhejiang University of Technology,Hangzhou 310023,China)

机构地区：[1]浙江工业大学计算机科学与技术学院,杭州310023

出　　处：《计算机科学》2019年第5期272-278,共7页Computer Science

基　　金：国家自然科学基金项目(617024555;61672462;61672463)资助

摘　　要：结构光图像的条纹提取易受不均匀光照的影响,而提取的条纹精度是后续三维重建精确与否的重要前提,因此,如何消除不均匀光照的影响,准确提取结构光图像的条纹是本文研究的目标。文中提出了一种结合高斯滤波和均值滤波的处理算法,适用于光照不均匀的结构光图像的条纹提取。该算法既可以有效地消除不均匀光照对图像的影响,又保留了原始图像的特征信息,取得了良好的实验效果。为了加速滤波处理过程,文中使用可分离滤波器对算法进行改进,降低了计算复杂度,又使用基于GPU并行计算的CUDA技术对算法进行加速,使处理速度得到较大的提高。The stripe extraction of structured light images can be easily impacted by uneven illumination.The accuracy of the extracted stripes is an important prerequisite for the accuracy of the subsequent 3D reconstruction.Therefore,how to eliminate the influence of uneven illumination and accurately extract the stripes of structured light images is the goal of the study.This paper proposed a processing algorithm combining Gaussian filtering and mean filtering,which is suitable for the structural light image stripe extraction of uneven illumination.The algorithm not only can effectively eliminate the influence of uneven illumination on the image,but also retains the feature information of the original image and achieves good experimental results.In order to speed up the filtering process,this paper used separable filters to improve the algorithm,reducing the computational complexity.In addition,GPU parallel computing-based CUDA technique is used to accelerate the algorithm,and the processing speed is improved greatly.

关 键 词：条纹提取 不均匀光照 可分离滤波器 CUDA加速 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]