Texture Measures for Carpet Wear Assessment
IEEE Transactions on Pattern Analysis and Machine Intelligence
Automated Inspection of Textile Fabrics Using Textural Models
IEEE Transactions on Pattern Analysis and Machine Intelligence
Multiresolution Gray-Scale and Rotation Invariant Texture Classification with Local Binary Patterns
IEEE Transactions on Pattern Analysis and Machine Intelligence
Fault segmentation in fabric images using Gabor wavelet transform
Machine Vision and Applications
Wavelet based methods on patterned fabric defect detection
Pattern Recognition
Defect detection in textured materials using optimized filters
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Fabric defect detection based on adaptive local binary patterns
ROBIO'09 Proceedings of the 2009 international conference on Robotics and biomimetics
Fabric defect detection using local contrast deviations
Multimedia Tools and Applications
On the Occurrence Probability of Local Binary Patterns: A Theoretical Study
Journal of Mathematical Imaging and Vision
Review article: Automated fabric defect detection-A review
Image and Vision Computing
Supervised and semi-supervised online boosting tree for industrial machine vision application
Proceedings of the Fifth International Workshop on Knowledge Discovery from Sensor Data
Combining structure and appearance for anomaly detection in wire ropes
CAIP'11 Proceedings of the 14th international conference on Computer analysis of images and patterns - Volume Part II
TED: A texture-edge descriptor for pedestrian detection in video sequences
Pattern Recognition
Porosity detection by using improved local binary patterns
EHAC'12/ISPRA/NANOTECHNOLOGY'12 Proceedings of the 11th WSEAS international conference on Electronics, Hardware, Wireless and Optical Communications, and proceedings of the 11th WSEAS international conference on Signal Processing, Robotics and Automation, and proceedings of the 4th WSEAS international conference on Nanotechnology
Enhanced anomaly detection in wire ropes by combining structure and appearance
Pattern Recognition Letters
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Local binary patterns (LBPs) are one of the features which have been used for texture classification. In this paper, a method based on using these features is proposed for fabric defect detection. In the training stage, at first step, LBP operator is applied to an image of defect free fabric, pixel by pixel, and the reference feature vector is computed. Then this image is divided into windows and LBP operator is applied to each of these windows. Based on comparison with the reference feature vector, a suitable threshold for defect free windows is found. In the detection stage, a test image is divided into windows and using the threshold, defective windows can be detected. The proposed method is multiresolution and gray scale invariant and can be used for defect detection in patterned and unpatterned fabrics. Because of its simplicity, online implementation is possible as well.