DocumentCode
416637
Title
Neural network localization of a steel ball in impact perforation images
Author
Ogawa, Takehiko ; Kanada, Hajime ; Kasano, Hideaki
Author_Institution
Dept. of Electron. & Comput. Syst., Takushoku Univ., Tokyo, Japan
Volume
1
fYear
2003
fDate
4-6 Aug. 2003
Firstpage
1035
Abstract
The estimation of characteristics from the impact perforation process of the material by the high-speed photograph system has been studied. In this method, the characteristic of the material is estimated from the continuous images after the steel ball perforates into the material specimen. In this study, we propose to use the neural network to localize the steel ball in the continuous images.
Keywords
data compression; feedforward neural nets; image coding; image recognition; production engineering computing; steel; wavelet transforms; high-speed photograph system; impact perforation images; neural network localization; steel ball;
fLanguage
English
Publisher
ieee
Conference_Titel
SICE 2003 Annual Conference
Conference_Location
Fukui, Japan
Print_ISBN
0-7803-8352-4
Type
conf
Filename
1323562
Link To Document