DocumentCode
142261
Title
The examination system of steel ball surface defect based on BP neural network
Author
Xiumei Tian
Author_Institution
Inst. of Inf. Eng. of NIT, Nanchang, China
Volume
3
fYear
2014
fDate
26-28 April 2014
Firstpage
2061
Lastpage
2064
Abstract
In view of the steel ball examination domain particularity, the more effective neural network structure has been obtained through the theoretical analysis and the massive experiments. An algorithm of steel ball surface examination has been proposed based on the BP neural network in this paper. The images pre-treatment should improve the examination rate. Finally the examination system of steel ball is proposed based on neural network.
Keywords
automatic optical inspection; backpropagation; feature extraction; neural nets; steel; BP neural network; examination rate improvement; image pretreatment; steel ball surface defect examination system; surface defect;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Science, Electronics and Electrical Engineering (ISEEE), 2014 International Conference on
Conference_Location
Sapporo
Print_ISBN
978-1-4799-3196-5
Type
conf
DOI
10.1109/InfoSEEE.2014.6946286
Filename
6946286
Link To Document