Abstract
Therefore, quality inspection has become a crucial step for ceramic tile manufacturers. At present, most ceramic tile manufacturers still adopt the manual detection method for the detection of ceramic tile surface quality, but this method has the problems of low detection efficiency and high cost, which can not meet the development needs of the current factory. The detection technology adopted in this paper is based on digital image processing and combined with machine vision to detect the surface defects of ceramic tiles. As a novel detection technology, this method has been widely used in the surface quality detection of glass, ceramic tile, steel ball, wood and fabric, which industrial detection. Taking the defects of ceramic tile surface as the research object and the defect detection algorithm of ceramic tile surface as the core, this paper studies the technical algorithm of ceramic tile surface quality detection for the purpose of accurately identifying and classifying different types of defects on ceramic tile surface.
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