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Method of inspecting images to detect defects

Summary

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.

Supplementary Information

Inventor: Kwok Hung, Grantham Pang | Aiay, Kumar, The University of Hong Kong
Priority Number: EP1148332B1
IPC Current: G01N0021898
Assignee Applicant: The University of Hong Kong
Title: Method of inspecting images to detect defects | Verfahren für die Auswertung von Bildern zur Defekterkennung | Méthode d'évaluer des images pour détecter des défauts
Usefulness: Method of inspecting images to detect defects | Verfahren für die Auswertung von Bildern zur Defekterkennung | Méthode d'évaluer des images pour détecter des défauts
Summary: For detecting defects such as mixed filling, mispicks, kinky filling, misread, wrong-draw, colored yarn, broken end, dirty end, double weft, big not, broken yarn, triple-warp, etc., of plain fabric material gathered from looms, in textile industry. Also for detecting defects of paper, plastic, wood, and steel in production lines.
Novelty: Web material inspection e.g. for textile paper, involves computing energy of each pixel in acquired image of web material based on output of optimal filter to attenuate pixels in image based on defect free region

Industry

Textile/fashion

Sub Group

Fabric Engineering

Country/Region

Hong Kong

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