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

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

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, whi...

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Veröffentlicht in:Measurement : journal of the International Measurement Confederation 2007-07, Vol.40 (6), p.687-698
Hauptverfasser: Mukherjee, Anirban, Ray, Tathagata, Chaudhuri, Subhasis, Dutta, Pranab K., Sen, Siddhartha, Patra, Amit
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Sprache:eng
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ANN
Bayesian Network
Fluted ingot
PNN
Surface defect classification
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container_title Measurement : journal of the International Measurement Confederation
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creator Mukherjee, Anirban
Ray, Tathagata
Chaudhuri, Subhasis
Dutta, Pranab K.
Sen, Siddhartha
Patra, Amit
description 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.
doi_str_mv 10.1016/j.measurement.2006.07.008
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subjects ANN
Bayesian Network
Fluted ingot
PNN
Surface defect classification
title Image-based classification of defects in frontal surface of fluted ingot
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