DocumentCode
2638976
Title
Impact perforation image processing using a self-organizing map
Author
Okubo, Kenji ; Ogawa, Takehiko ; Kanada, Hajime
Author_Institution
Takushoku Univ., Tokyo
fYear
2007
fDate
17-20 Sept. 2007
Firstpage
1099
Lastpage
1103
Abstract
A characteristic evaluation method from an image of impact perforation process by a high speed photograph system has been studied in the material engineering field. In this method, a steel ball is shot into a material specimen to evaluate characteristics by observing the ball and fragments of the specimen. However, it is often difficult to find a steel ball because of the dispersion of fragments. In this study, we propose to use the self-organizing map to distinguish a steel ball, background and fragments.
Keywords
image processing; self-organising feature maps; impact perforation image processing; self-organizing map; steel ball; Building materials; Cameras; Image processing; Materials testing; Multi-layer neural network; Neural networks; Neurons; Shape; Steel; Training data; Self-organizing map; impact perforation images;
fLanguage
English
Publisher
ieee
Conference_Titel
SICE, 2007 Annual Conference
Conference_Location
Takamatsu
Print_ISBN
978-4-907764-27-2
Electronic_ISBN
978-4-907764-27-2
Type
conf
DOI
10.1109/SICE.2007.4421148
Filename
4421148
Link To Document