Quality control is an important issue in ceramic tiles industry. On the other hand, maintaining the rate of production with respect to time is also a major issue in ceramic tile manufacturing. Again, price of ceramic tiles also depends on purity of texture, accuracy of color, shape etc. 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 will play an important role in the ceramic tiles industries to detect defect and to control the quality of ceramic tiles. Again, this automated classification method helps us to acquire knowledge about the pattern of the defect within a very short time and also to decide about the recovery process so that the defected tiles may not be mixed with fresh tiles.