计量学报Issue(4)：356-359,4.DOI:10.3969/j.issn.1000-1158.2015.04.05
基于图像金字塔的钢板表面深度信息提取方法
An Extraction Method of Steel Plate Surface Depth lnformation Based on lmage Pyramid
摘要
Abstract
To satisfy the requirement of both precision and real-time of traditional region matching algorithms,a region-based hierarchical matching algorithm based on the mean image pyramid was proposed combining with the normalized cross correlation method. The algorithm has been controlled efficiently through the parameters such as matching window size,the smallest eigenvalue,and the disparity search space,similarity measure threshold,etc. The eztraction of steel plate surface depth information was realized by the ways of camera calibration of binocular stereo vision system and image correction based on equivalent standard epipolar structure. The ezperiment results showed that the algorithm yields better accuracy and higher efficiency.关键词
计量学/深度信息提取/图像金字塔/钢板表面缺陷/立体视觉/图像校正Key words
Metrology/Depth information eztraction/Image pyramid/Steel plate surface defect/Binocular vision/Imaging correction分类
信息技术与安全科学引用本文复制引用
刘源泂,孔建益,徐福军,黄前德,王兴东..基于图像金字塔的钢板表面深度信息提取方法[J].计量学报,2015,(4):356-359,4.基金项目
国家自然科学基金(51174151),高校博士点专项科研基金(20104219110001),湖北省重大科技创新计划(2013AAA011),湖北省教育厅重点项目(D20151102) （51174151）
