Method of and device for inspecting images to detect defects

Abstract

The present invention relates to a method for automated defect detection in textured materials. The present invention utilizes linear Finite Impulse Response (FIR) filters with optimized energy separation. Specifically, the invention provides a method of inspecting industrial products for defects. The method has steps of: automated design of optimized filters from samples of products, using these optimal filters to filter the acquired images of product under inspection, computing the energy of each pixel in a local region, and finally segmenting the defect by thresholding each pixel. The present invention also relates to a method of inspection of unknown (unsupervised) defects in web materials. In an unsupervised inspection, information from a finite number of optimal filters is combined using a data fusion module.; This module attempts to nullify the false alarm associated with the information arriving from different channels.