Plain Ceramic Tiles Surface Defect Detection Using Image Processing

Abstract

In the ceramic tile industry bulk amount of ceramic tiles are manufactured, it is very difficult to monitor the quality of each and every tiles manually. Lot of human resources are required for the defect detection of the tiles. Also it is quite tedious and time consuming method. 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 plays an important role in ceramic tiles industries to detect the defects and to control the quality of ceramic tiles. This automated classification method helps us to monitor the defects within a very short period of time and also to decide about the recovery process so that the defected tiles may not be mixed with the good quality tiles.