关键词: 瓷砖, 特征提取, 特征融合, 缺陷分类, 词袋模型（BoF）

Abstract:

In view of the single feature in the case of more kinds of ceramic tiles, there is no obvious expression of the surface defects of ceramic tiles, which leads to the low recognition rate of complex ceramic tiles. To address this issue, this paper proposes an effective multi-feature fusion algorithm for tile defect detection, which based on the framework of the Bag of Features（BoF）. The proposed algorithm adopts the improved SIFT and color moment fusion features as the regional feature description of the ceramic tile image. According to the accuracy of the each feature classifies tiles, each of the extracted two regional features is assigned a respective weight coefficient to achieve weighted fusion of features. A comprehensive feature vector are put into SVM to achieve the purpose of classifying tile defects. The experiments on different types of tile samples demonstrate that the proposed algorithm has high recognition and can realize good classification of ceramic tiles.

Key words: ceramic tile, feature extraction, feature fusion, defect classification, Bag of Features（BoF）