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
Format: Artikel
Sprache:eng
Schlagworte:
ANN
Bayesian Network
Fluted ingot
PNN
Surface defect classification
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Beschreibung
Zusammenfassung: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.
ISSN:0263-2241
1873-412X
DOI:10.1016/j.measurement.2006.07.008