Classification of Ceramic Tiles by Identifying Defect on Ceramic Tile Surface Using Local Texture Feature

In ceramic tiles industry, the process of ceramics classification plays an important part. At present, the process of classification is carried out manually by using the human eyes observation. However, the capability of the human eyes is very limited. This condition leads to the low accuracy of the ceramic tile selection. This paper proposes a mechanism which could classify the ceramic tiles automatically using local texture feature. The result of our experiment shows a recognition rate of 76%, which means that this method can be used to classify the ceramic tiles.