Title :
Recognition and classification of metallography via fractional dimension
Author :
Wan, F.Y. ; Yuan, Z.D.
Author_Institution :
East China Normal Univ., Shanghai, China
Abstract :
This paper gives some basic algorithms to obtain fractional dimension of fractal through changing the observation scale. Some fractional dimensions of metallographies are calculated. The main aim is to recognize and classify the metallographies via fractional dimension and provide the conditions to control the quality of steel.
Keywords :
fractals; image classification; mechanical engineering computing; metallography; process control; steel industry; classification; fractional dimension; metallography; recognition; Automatic control; Automation; Fractals; Intelligent control; Steel;
Conference_Titel :
Intelligent Control and Automation, 2002. Proceedings of the 4th World Congress on
Print_ISBN :
0-7803-7268-9
DOI :
10.1109/WCICA.2002.1021488
