The global market for textile industry is highly competitive nowadays. Quality control in production process in textile industry has been a key factor for retaining existence in such competitive market. Automated, i.e. machine vision based textile inspection systems are very useful in this respect, because manual inspection is time consuming and not accurate enough. Hence, machine vision based textile inspection systems have been drawing plenty of attention of the researchers of different countries in order to replace manual inspection. Two difficult problems are mainly posed by machine vision based textile inspection systems. They are defect detection and defect classification. Even though there has been plenty of research addressing the defect detection problem, the research aiming at solving the classification problem is scarce. This book is all about automated textile defect inspection specially focusing on defect classification.
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The global market for textile industry is highly competitive nowadays. Quality control in production process in textile industry has been a key factor for retaining existence in such competitive market. Automated, i.e. machine vision based textile inspection systems are very useful in this respect, because manual inspection is time consuming and not accurate enough. Hence, machine vision based textile inspection systems have been drawing plenty of attention of the researchers of different countries in order to replace manual inspection. Two difficult problems are mainly posed by machine vision based textile inspection systems. They are defect detection and defect classification. Even though there has been plenty of research addressing the defect detection problem, the research aiming at solving the classification problem is scarce. This book is all about automated textile defect inspection specially focusing on defect classification.
Md. Tarek Habib is continuing his Ph.D. degree at the Department of Computer Science and Engineering in Jahangirnagar University. He obtained his M.S. degree in Computer Science and Engineering (Major in Intelligent Systems Engineering) and B.Sc. degree in Computer Science from North South University and BRAC University, respectively.
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Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The global market for textile industry is highly competitive nowadays. Quality control in production process in textile industry has been a key factor for retaining existence in such competitive market. Automated, i.e. machine vision based textile inspection systems are very useful in this respect, because manual inspection is time consuming and not accurate enough. Hence, machine vision based textile inspection systems have been drawing plenty of attention of the researchers of different countries in order to replace manual inspection. Two difficult problems are mainly posed by machine vision based textile inspection systems. They are defect detection and defect classification. Even though there has been plenty of research addressing the defect detection problem, the research aiming at solving the classification problem is scarce. This book is all about automated textile defect inspection specially focusing on defect classification. 116 pp. Englisch. Nº de ref. del artículo: 9783330024564
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Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Habib Md. TarekMd. Tarek Habib is continuing his Ph.D. degree at the Department of Computer Science and Engineering in Jahangirnagar University. He obtained his M.S. degree in Computer Science and Engineering (Major in Intelligent Sy. Nº de ref. del artículo: 158421861
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Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -The global market for textile industry is highly competitive nowadays. Quality control in production process in textile industry has been a key factor for retaining existence in such competitive market. Automated, i.e. machine vision based textile inspection systems are very useful in this respect, because manual inspection is time consuming and not accurate enough. Hence, machine vision based textile inspection systems have been drawing plenty of attention of the researchers of different countries in order to replace manual inspection. Two difficult problems are mainly posed by machine vision based textile inspection systems. They are defect detection and defect classification. Even though there has been plenty of research addressing the defect detection problem, the research aiming at solving the classification problem is scarce. This book is all about automated textile defect inspection specially focusing on defect classification.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 116 pp. Englisch. Nº de ref. del artículo: 9783330024564
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Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The global market for textile industry is highly competitive nowadays. Quality control in production process in textile industry has been a key factor for retaining existence in such competitive market. Automated, i.e. machine vision based textile inspection systems are very useful in this respect, because manual inspection is time consuming and not accurate enough. Hence, machine vision based textile inspection systems have been drawing plenty of attention of the researchers of different countries in order to replace manual inspection. Two difficult problems are mainly posed by machine vision based textile inspection systems. They are defect detection and defect classification. Even though there has been plenty of research addressing the defect detection problem, the research aiming at solving the classification problem is scarce. This book is all about automated textile defect inspection specially focusing on defect classification. Nº de ref. del artículo: 9783330024564
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Taschenbuch. Condición: Neu. Machine Vision Based Textile Defects Classification | Md. Tarek Habib | Taschenbuch | 116 S. | Englisch | 2017 | LAP LAMBERT Academic Publishing | EAN 9783330024564 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Nº de ref. del artículo: 108204662
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