Image-based classification of defects in frontal surface of fluted ingot

Mukherjee, Anirban ; Ray, Tathagata ; Chaudhuri, Subhasis ; Dutta, Pranab K. ; Sen, Siddhartha ; Patra, Amit (2007) Image-based classification of defects in frontal surface of fluted ingot Measurement, 40 (6). pp. 687-698. ISSN 0263-2241

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Official URL: http://linkinghub.elsevier.com/retrieve/pii/S02632...

Related URL: http://dx.doi.org/10.1016/j.measurement.2006.07.008

Abstract

An image-based comparative study of different defect classification methods has been presented. Bayesian Network, Artificial Neural Network (ANN) and Probabilistic Neural Network (PNN) based classification techniques have been used for classifying the defects in frontal surface of fluted ingots, which are used for the production of locomotive wheels. The complete system has been implemented for one of the integrated steel plant of India.

Item Type:Article
Source:Copyright of this article belongs to Elsevier Science.
Keywords:Fluted ingot; Surface defect classification; Bayesian Network; ANN; PNN
ID Code:7823
Deposited On:25 Oct 2010 10:18
Last Modified:05 Feb 2011 05:09

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