[01] Ehsan Mozafari, Department of Electronics, Faculty of Engineering, Islamic Azad University, Shahrood Science and Research Branch, Shahrood, Iran. [02] Vahid Abolghasemi, Faculty of Electrical Engineering and Robotics, University of Shahrood, Shahrood, Iran. [03] Saideh Ferdowsi, Faculty of Electrical Engineering and Robotics, University of Shahrood, Shahrood, Iran.

Due to the rapid development of tile and ceramic production industry and burgeoning increment of demand, quality assessment without the presence of human operator is one of the challenges of this industry. So, to identify flaws in the surface of tile in the production process has been proposed. According to the high variability in color and texture in tiles, this method has been able to specify any inconsistency or heterogeneity in conventional texture of the tile and to provide the tile a qualitative measure or identifies the ruined part of it based on this inconsistency or heterogeneity. In the proposed method, by combining the wavelet, statistical characteristics, derived and gradient operator we could perform a way to determine heterogeneity in the tile texture. It is because the proposed method that acts based on inconsistency in texture is independent of the tile type and therefore is applicable to any tile. Finally, this method was tested on a number of tile images and its resolution was determined. Because of the large number of features in the conducted design properties of sparse matrix was used to reduce the volume of calculations and speeding.

Tile, Wavelet Transform, Texture Analysis, Sparse Matrix, Quality Control

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