Title :
Impact perforation image processing using a self-organizing map
Author :
Okubo, Kenji ; Ogawa, Takehiko ; Kanada, Hajime
Author_Institution :
Takushoku Univ., Tokyo
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;
Conference_Titel :
SICE, 2007 Annual Conference
Conference_Location :
Takamatsu
Print_ISBN :
978-4-907764-27-2
Electronic_ISBN :
978-4-907764-27-2
DOI :
10.1109/SICE.2007.4421148
