Abstract
A large amount of ceramic tiles are constructed in the ceramic tile industry and it is very problematic to monitor the quality of each and every tile manually. It is very difficult to monitor the quality of each and every tile manually. This paper addresses a new technique to avoid such in detecting tile defects. Quality jurisdiction is an important task in the ceramic tile executive. The cost of ceramic tiles also depends on freshness of arrangement, truthfulness of colour, format etc. In ceramic tile factory, the manufacturing process has now performed automatically by industrial computerization system, apart from the observation procedure for ceramic quality classification which is still organize hand-operated. Tile’s surface commonly suffers from cracks, holes, spots and corner defects. Classification process is achieved using the human visual appraisal to find and to analyze defect, where human perception is dependent thoroughly on experience and expertise. This operation wants a mechanical arrangement which can furnish an estimate of the ceramic condition precisely and frequently.
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Sameer Ahamad, N., Bhaskara Rao, J. (2016). Analysis and Detection of Surface Defects in Ceramic Tile Using Image Processing Techniques. In: Satapathy, S., Rao, N., Kumar, S., Raj, C., Rao, V., Sarma, G. (eds) Microelectronics, Electromagnetics and Telecommunications. Lecture Notes in Electrical Engineering, vol 372. Springer, New Delhi. https://doi.org/10.1007/978-81-322-2728-1_54
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DOI: https://doi.org/10.1007/978-81-322-2728-1_54
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