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Analysis and Detection of Surface Defects in Ceramic Tile Using Image Processing Techniques

机译:利用图像处理技术分析和检测瓷砖表面缺陷

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摘要

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.
机译:在瓷砖工业中,大量的瓷砖被建造,并且手动监控每块瓷砖的质量是非常成问题的。手动监控每个磁贴的质量非常困难。本文提出了一种新技术来避免这种检测瓷砖缺陷的方法。质量管辖权是瓷砖执行官的一项重要任务。瓷砖的成本还取决于布置的新鲜度,颜色的真实性,格式等。在瓷砖工厂中,制造过程现在已经通过工业计算机系统自动执行,除了对陶瓷质量分类的观察程序仍在组织中-操作。瓷砖的表面通常会出现裂缝,孔洞,斑点和拐角缺陷。分类过程是通过人类视觉评估来发现和分析缺陷而实现的,其中人类的感觉完全取决于经验和专业知识。该操作需要一种机械装置,该机械装置可以精确且频繁地提供对陶瓷状态的估计。

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