Using distance transform to solve real-time machine vision inspection problems

被引:14
作者
Lee, Dah-Jye [1 ]
Archibald, James [1 ]
Xu, Xiaoqian [1 ]
Zhan, Pengcheng [1 ]
机构
[1] Brigham Young Univ, Dept Elect & Comp Engn, Provo, UT 84602 USA
关键词
distance transform; laser triangulation; surface approximation; volumetric measurement; intensity gradient;
D O I
10.1007/s00138-006-0050-2
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This paper describes novel solutions to two challenging real-time inspection tasks in machine vision. The first is fast surface approximation for volume and surface area measurements of irregularly shaped objects; the second is fast intensity gradient correction for surface inspection and evaluation of spherical objects. Both solutions apply a distance transform (DT) based on the distance of each image pixel from the object boundary. We describe both real-time machine vision inspection tasks and discuss their complexity. We show that the new solutions result in significant improvements in both accuracy and efficiency-despite the relative simplicity of the DT approach.
引用
收藏
页码:85 / 93
页数:9
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