Path Segmentation Algorithm for Automatic Guided Vehicle Based on Machine Vision

被引：0

作者：

Zhang, Yuan ^{[1
]}

Wang, Peng ^{[1
]}

Li, Jixiang ^{[2
]}

Yin, Shiwei ^{[3
]}

Xin, Jinglei ^{[1
]}

机构：

[1] Harbin Univ Sci & Tech, Dept Mech & Power Engn, Harbin 150080, Peoples R China

[2] Harbin Univ Sci & Tech, Coll Automat, Harbin 1500080, Peoples R China

[3] Harbin ZhongQing Gas Lo Ltd, Harbin 150076, Peoples R China

来源：

MACHINING AND ADVANCED MANUFACTURING TECHNOLOGY X | 2010年 / 431-432卷

关键词：

Machine vision; Automatic guidance; Image segmentation; Multivariable stepwise regression; GRINDING WHEEL WEAR; SYSTEM;

D O I：

10.4028/www.scientific.net/KEM.431-432.330

中图分类号：

TH [机械、仪表工业];

学科分类号：

0802 ;

摘要：

A novel path segmentation algorithm for automatic guided vehicle is designed by machine vision technology. Firstly, wiener filter based on parameter estimate is used to restore path image in HIS model. Secondly, mutivariate stepwise fitted regression method is adopted to smooth guide line edge of path image. It can be concluded that path guide line of automatic guided vehicle under industry surrounding may be recognized accurately through this way.

引用

页码：330 / 333

页数：4

共 3 条

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