Knowledge inductive search based machine vision inspecting windows optimization

Author

Luo, Bing ; Gao, Yue-hua

Author_Institution

Inf. Eng. Sch., Wuyi Univ., Jiangmen, China

fYear

2012

fDate

15-17 July 2012

Firstpage

208

Lastpage

211

Abstract

In machine vision inspection with area array camera, inspecting windows placement needs to be optimized. It aims to minimize the number of windows while covering whole inspected objects. A knowledge inductive search approach is proposed in this work to randomly search optimal window positions with partly prior knowledge direction and partly posteriori knowledge induction. Experimental results show that this approach uses the least number of windows.

Keywords

automatic optical inspection; cameras; computer vision; minimisation; printed circuit testing; random processes; search problems; area array camera; inspecting window placement; knowledge inductive search-based machine vision inspecting window optimization; partly-posteriori knowledge induction; partly-prior knowledge direction; randomly search optimal window positions; window number minimization; Algorithm design and analysis; Cameras; Clustering algorithms; Feeds; Inspection; Machine vision; Optimization; Machine vision; inspection; knowledge inductive; random search; windows optimization;

fLanguage

English

Publisher

ieee

Conference_Titel

Wavelet Analysis and Pattern Recognition (ICWAPR), 2012 International Conference on

Conference_Location

Xian

ISSN

2158-5695

Print_ISBN

978-1-4673-1534-0

Type

conf

DOI

10.1109/ICWAPR.2012.6294780

Filename

6294780