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Quality control is an important issue in the ceramic tile industry. On theother hand maintaining the rate of production with respect to time is also amajor issue in ceramic tile manufacturing. Again, price of ceramic tiles alsodepends on purity of texture, accuracy of color, shape etc. Considering thiscriteria, an automated defect detection and classification technique has beenproposed in this report that can have ensured the better quality of tiles inmanufacturing process as well as production rate. Our proposed method plays animportant role in ceramic tiles industries to detect the defects and to controlthe quality of ceramic tiles. This automated classification method helps us toacquire knowledge about the pattern of defect within a very short period oftime and also to decide about the recovery process so that the defected tilesmay not be mixed with the fresh tiles.

Automatic Defect Detection and Classification Technique from Image: A Special Case Using Ceramic Tiles