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
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;
Conference_Titel :
SICE 2003 Annual Conference
Conference_Location :
Fukui, Japan
Print_ISBN :
0-7803-8352-4
