Leather inspection by oriented texture analysis with a morphological approach

Abstract

This paper deals with oriented texture analysis applied to a problem of defect detection and classification in leather inspection, for industrial application. In this paper we present results obtained using a defects detector based on oriented texture analysis, which reveals itself useful for a few classes of leather defects, such as scars or folds. These defects can be detected by using a black and white camera running over the leather patch and by classifying textures, on the basis of their gradient orientations and local coherence. Leather defects are detected by segmenting the oriented texture map of the leather surface. The orientation in every point is expressed using a normalized B-spline basis whose knots are distributed on the leather surface. The resulting erector of coefficients can be used to perform the final segmentation and localize defective areas. A morphological segmentation procedure is applied to the regularized oriented texture field in order to extract probable defective areas.