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 language | English |
|---|---|
| Pages (from-to) | 553-570 |
| Number of pages | 18 |
| Journal | IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics |
| Volume | 32 |
| Issue number | 5 |
| DOIs | |
| Publication status | Published - 1 Oct 2002 |
| Externally published | Yes |
Keywords
- Defect detection
- Industrial inspection
- Optimized FIR filters
- Performance evaluation
- Quality assurance
- Textured defects
ASJC Scopus subject areas
- Control and Systems Engineering
- Software
- General Medicine
- Information Systems
- Human-Computer Interaction
- Computer Science Applications
- Electrical and Electronic Engineering
