Defect detection in textured materials using optimized filters

Ajay Kumar Pathak, Grantham K.H. Pang

Research output: Journal article publicationJournal articleAcademic researchpeer-review

96 Citations (Scopus)

Abstract

The problem of automated defect detection in textured materials is investigated. A new approach for defect detection using linear FIR filters with optimized energy separation is proposed. Performance of different feature separation criterion with reference to fabric defects has been evaluated. The issues relating to the design of optimal filters for supervised and unsupervised web inspection are addressed. A general web inspection system based on the optimal filters is proposed. The experiments on this new approach have yielded excellent results. The low computational requirement confirms the usefulness of the approach for industrial inspection.
Original languageEnglish
Pages (from-to)553-570
Number of pages18
JournalIEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Volume32
Issue number5
DOIs
Publication statusPublished - 1 Oct 2002
Externally publishedYes

Keywords

  • Defect detection
  • Industrial inspection
  • Optimized FIR filters
  • Performance evaluation
  • Quality assurance
  • Textured defects

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Software
  • Medicine(all)
  • Information Systems
  • Human-Computer Interaction
  • Computer Science Applications
  • Electrical and Electronic Engineering

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