Abstract
The main aim of this paper is to reduce the required computing time to detect and classify defects in ceramic tiles. Consequently, this paper proposed an algorithm that divides the ceramic image into partitions and identify the defected partitions. Furthermore, the classification algorithm is applied only to the defected partition. As a result, the required time to classify defects is reduced. Simulation results indicate a significant improvement in terms of classification time in comparison to the current technique.