Discriminative fabric defect detection using adaptive wavelets
- 1 December 2002
- journal article
- Published by SPIE-Intl Soc Optical Eng in Optical Engineering
- Vol. 41 (12), 3116-3126
- https://doi.org/10.1117/1.1517290
Abstract
We propose a new method for fabric defect detection by incorporating the design of an adaptive wavelet-based feature extractor with the design of an Euclidean distance-based detector. The proposed method characterizes the fabric image with multiscale wavelet features by using undecimated discrete wavelet transforms. Each nonoverlapping window of the fabric image is then detected as defect or nondefect with an Euclidean distance-based detector. Instead of using the standard wavelet bases, an adaptive wavelet basis is designed for the detection of fabric defects. Minimization of the detection error is achieved by incorporating the design of the adaptive wavelet with the design of the detector parameters using a discriminative feature extraction (DFE) training method. The proposed method has been evaluated on 480 defect samples from five types of defects, and 480 nondefect samples, where a 97.5% detection rate and 0.63% false alarm rate were achieved. The evaluations were also carried out on unknown types of defects, where a 93.3% detection rate and 3.97% false alarm rate were achieved in the detection of 180 defect samples and 780 nondefect samples. © 2002 Society of Photo-Optical Instrumentation Engineers.Keywords
This publication has 18 references indexed in Scilit:
- Wavelet analysis to fabric defects detection in weaving processesPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2003
- Wavelet methods for texture defect detectionPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Optimal textural features for flaw detection in textile materialsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Fabric defect detection by Fourier analysisIEEE Transactions on Industry Applications, 2000
- Vision system for on-loom fabric inspectionIEEE Transactions on Industry Applications, 1999
- Detection of local defects in textile webs using Gabor filtersOptical Engineering, 1998
- Texture characterization and defect detection using adaptive waveletsOptical Engineering, 1996
- Defect detection in textured materials by optical filtering with structured detectors and self‐adaptable masksOptical Engineering, 1996
- Fabric Defect Detection and Classification Using Image AnalysisTextile Research Journal, 1995
- Automated inspection of textile fabrics using textural modelsIeee Transactions On Pattern Analysis and Machine Intelligence, 1991