Multichannel Texture Analysis Using Localized Spatial Filters
IEEE Transactions on Pattern Analysis and Machine Intelligence
Unsupervised texture segmentation using Gabor filters
Pattern Recognition
Texture Features for Browsing and Retrieval of Image Data
IEEE Transactions on Pattern Analysis and Machine Intelligence
Multi-resolutional gabor filter in texture analysis
Pattern Recognition Letters
Fundamental Frequency Gabor Filters for Object Recognition
ICPR '02 Proceedings of the 16 th International Conference on Pattern Recognition (ICPR'02) Volume 1 - Volume 1
Affine Real-Time Face Tracking using Gabor Wavelet Networks
ICPR '00 Proceedings of the International Conference on Pattern Recognition - Volume 1
Scale multiplication in odd Gabor transform domain for edge detection
Journal of Visual Communication and Image Representation
Gabor wavelets and General Discriminant Analysis for face identification and verification
Image and Vision Computing
Gabor wavelets and General Discriminant Analysis for face identification and verification
Image and Vision Computing
Fast and active texture segmentation based on orientation and local variance
Journal of Visual Communication and Image Representation
An automated inspection system for textile fabrics based on Gabor filters
Robotics and Computer-Integrated Manufacturing
Defect Detection in Textiles Using Morphological Analysis of Optimal Gabor Wavelet Filter Response
ICCAE '09 Proceedings of the 2009 International Conference on Computer and Automation Engineering
Wavelet based methods on patterned fabric defect detection
Pattern Recognition
Review article: Automated fabric defect detection-A review
Image and Vision Computing
Fabric defect detection and classification using gabor filters and gaussian mixture model
ACCV'09 Proceedings of the 9th Asian conference on Computer Vision - Volume Part II
Gabor feature based nonlocal means filter for textured image denoising
Journal of Visual Communication and Image Representation
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This paper describes an algorithm for texture defect detection in uniform and structured fabrics, which has been tested on the TILDA image database. The proposed approach is structured in a feature extraction phase, which relies on a complex symmetric Gabor filter bank and Principal Component Analysis (PCA), and on a defect identification phase, which is based on the Euclidean norm of features and on the comparison with fabric type specific parameters. Our analysis is performed on a patch basis, instead of considering single pixels. The performance has been evaluated with uniformly textured fabrics and fabrics with visible texture and grid-like structures, using as reference defect locations identified by human observers. The results show that our algorithm outperforms previous approaches in most cases, achieving a detection rate of 98.8% and a false alarm rate as low as 0.20-0.37%, whereas for heavily structured yarns misdetection rate can be as low as 5%.