Ceramic Tiles Surface Defect Detection and Classification: A Novel Technique for Industrial Production - Couverture souple

Islam, Md. Maidul; Islam, Md. Rakibul; Bagdadi, Lutfar Rahman

 
9783845441955: Ceramic Tiles Surface Defect Detection and Classification: A Novel Technique for Industrial Production
Couverture souple
ISBN 10 : 384544195X ISBN 13 : 9783845441955
Editeur : LAP LAMBERT Academic Publishing, 2012

Synopsis

Quality control is an important issue in ceramic tiles industry. On the other hand, maintaining the rate of production with respect to time is also a major issue in ceramic tile manufacturing. Again, price of ceramic tiles also depends on purity of texture, accuracy of color, shape etc. Considering this criteria, an automated defect detection and classification technique has been proposed in this report that can have ensured the better quality of tiles in manufacturing process as well as production rate. Our proposed method will play an important role in the ceramic tiles industries to detect defect and to control the quality of ceramic tiles. Again, this automated classification method helps us to acquire knowledge about the pattern of the defect within a very short time and also to decide about the recovery process so that the defected tiles may not be mixed with fresh tiles.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Présentation de l'éditeur

Quality control is an important issue in ceramic tiles industry. On the other hand, maintaining the rate of production with respect to time is also a major issue in ceramic tile manufacturing. Again, price of ceramic tiles also depends on purity of texture, accuracy of color, shape etc. Considering this criteria, an automated defect detection and classification technique has been proposed in this report that can have ensured the better quality of tiles in manufacturing process as well as production rate. Our proposed method will play an important role in the ceramic tiles industries to detect defect and to control the quality of ceramic tiles. Again, this automated classification method helps us to acquire knowledge about the pattern of the defect within a very short time and also to decide about the recovery process so that the defected tiles may not be mixed with fresh tiles.

Biographie de l'auteur

Md. Maidul Islam, received M.Sc. from University of Bedfordshire, UK(2010) and B.Sc. in Computer Science and Engineering from Khulna University, Bangladesh (2008).He is a Lecturer, Computer Science and Engineering department of World University of Bangladesh (WUB),Dhaka, Bangladesh.Image Processing,IT Management,Code Cloning etc his research areas.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
LAP LAMBERT Academic Publishing
Date d'édition
2012
Langue
anglais
ISBN 10 
384544195X
ISBN 13 
9783845441955
Reliure
Broché
Nombre de pages
64
Coordonnées du fabricant
non disponible
Personne responsable
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