ABSTRACT

Objective: This paper can be very useful for removing noise from digital images using median filtering techniques of rectangular digital images. The corner defect detection from algorithm is very helpful for maintaining quality of ceramic tiles. This algorithm is very helpful for detection of corner defect from rectangle ceramic tile. The comparative analysis can be used four factors these are: accuracy level, consistency level, complexity of time and production rate. By using these four factors can prove this algorithm can better than previous method. In our proposed method or algorithm can using nine sample digital image of rectangular shape. These nine image run on the platform of MATrix LABoratory and finding the corner defect. If each corner is equal to 90 degree means this type of ceramic tile belongs to normal ceramic tiles. This algorithm and quality maintaining model of machine is very helpful for ceramic tile industry for maintaining quality of ceramic tiles.