Glass defects which result into poor quality are a major reason of embarrassment for manufacturers. It is an extremely tedious process to manually inspect very large size glasses. The manual inspection process is slow, time-consuming and prone to human error.In this research work, the analyses and methodology employed to detect the defects in the glass sheets seek to address this need, using image processing technique because of its higher precision and speed to overcome many of these disadvantages and offer manufacturers an opportunity to significantly improve quality and reduce costs. The implementation of defect detection methodology has two main phases, namely the visibility test and segmentation phase. The visibility test enables the selection of an appropriate color space followed by the region-based active contour segmentation technique for final detection of the defect.The results show that the technique when applied to glass industry enables detection of any kind of major defects like surface defects, foreign materials, etc that can be present in the glass sheet providing good quality inspection with reasonable accuracy.
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Glass defects which result into poor quality are a major reason of embarrassment for manufacturers. It is an extremely tedious process to manually inspect very large size glasses. The manual inspection process is slow, time-consuming and prone to human error.In this research work, the analyses and methodology employed to detect the defects in the glass sheets seek to address this need, using image processing technique because of its higher precision and speed to overcome many of these disadvantages and offer manufacturers an opportunity to significantly improve quality and reduce costs. The implementation of defect detection methodology has two main phases, namely the visibility test and segmentation phase. The visibility test enables the selection of an appropriate color space followed by the region-based active contour segmentation technique for final detection of the defect.The results show that the technique when applied to glass industry enables detection of any kind of major defects like surface defects, foreign materials, etc that can be present in the glass sheet providing good quality inspection with reasonable accuracy.
Nishu Gupta, Master's of Engineering: Electronics and Communication Engineering at Panjab University, Chandigarh. Technical I.T Recruiter at E-Solutions Inc., Chandigarh.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Gupta NishuNishu Gupta, Master s of Engineering: Electronics and Communication Engineering at Panjab University, Chandigarh. Technical I.T Recruiter at E-Solutions Inc., Chandigarh.Glass defects which result into poor quality are. N° de réf. du vendeur 5143072
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Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Glass defects which result into poor quality are a major reason of embarrassment for manufacturers. It is an extremely tedious process to manually inspect very large size glasses. The manual inspection process is slow, time-consuming and prone to human error.In this research work, the analyses and methodology employed to detect the defects in the glass sheets seek to address this need, using image processing technique because of its higher precision and speed to overcome many of these disadvantages and offer manufacturers an opportunity to significantly improve quality and reduce costs. The implementation of defect detection methodology has two main phases, namely the visibility test and segmentation phase. The visibility test enables the selection of an appropriate color space followed by the region-based active contour segmentation technique for final detection of the defect.The results show that the technique when applied to glass industry enables detection of any kind of major defects like surface defects, foreign materials, etc that can be present in the glass sheet providing good quality inspection with reasonable accuracy. N° de réf. du vendeur 9783659250507
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Taschenbuch. Etat : Neu. Detection of Defects in Glass | Using Image Processing | Nishu Gupta (u. a.) | Taschenbuch | Englisch | LAP Lambert Academic Publishing | EAN 9783659250507 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. N° de réf. du vendeur 106190631
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