期刊论文

Three-dimension shape detection of line laser vision measurement based on attention degree

中文

激光与红外

1001-5078

2016

46

2

235-239

10.3969/j.issn.1001-5078.2016.02.022

本校为第一机构

针对工件在产线上的摆置方位识别困难识别率低等问题,提出了一种基于注意度的线激光视觉测量的曲线形状识别方法。采用激光视觉三维测量技术提取工件表面的光迹信息,将工件的方位识别转换为曲线形状识别的问题。在匹配算法方面,定义了两种距离测度,分别作为粗匹配和精确匹配的误差评价函数;在识别准确性方面,定义了一种基于注意度的模板相似性测度的分类方法。实验结果表明,本文提出的方法识别率高,耗时短,对工件的平移和偏移不敏感;能满足工业生产实时检测要求,应用范围广。

Considering the low recognition rate of the workpieces due to its placement orientation in production line,a curve shape recognition method of line laser vision measurement based on attention degree is proposed. Three-dimension measurement of laser vision technology is used to extract the surface trace information,and then the orientation recognition is transformed into a curve shape recognition problem. In terms of the matching algorithms,two kinds of distance measurements are defined respectively as coarse matching and accurate matching of error evaluation function; As for recognition accura...