Automated Inspection of Textile Fabrics Using Textural Models
IEEE Transactions on Pattern Analysis and Machine Intelligence
Filtering for Texture Classification: A Comparative Study
IEEE Transactions on Pattern Analysis and Machine Intelligence
Representing and Recognizing the Visual Appearance of Materials using Three-dimensional Textons
International Journal of Computer Vision
Multiresolution Gray-Scale and Rotation Invariant Texture Classification with Local Binary Patterns
IEEE Transactions on Pattern Analysis and Machine Intelligence
Wood inspection with non-supervised clustering
Machine Vision and Applications
Epitomic analysis of appearance and shape
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
International Journal of Computer Vision - Special Issue on Texture Analysis and Synthesis
Texture exemplars for defect detection on random textures
ICAPR'05 Proceedings of the Third international conference on Pattern Recognition and Image Analysis - Volume Part II
A multiscale representation including opponent color features for texture recognition
IEEE Transactions on Image Processing
Random Texture Defect Detection Using 1-D Hidden Markov Models Based on Local Binary Patterns
IEICE - Transactions on Information and Systems
Multi-spectral Texture Characterisation for Remote Sensing Image Segmentation
IbPRIA '09 Proceedings of the 4th Iberian Conference on Pattern Recognition and Image Analysis
HMM-Based Defect Localization in Wire Ropes --- A New Approach to Unusual Subsequence Recognition
Proceedings of the 31st DAGM Symposium on Pattern Recognition
Automatic detection of skin defects in citrus fruits using a multivariate image analysis approach
Computers and Electronics in Agriculture
Texture classification by modeling joint distributions of local patterns with Gaussian mixtures
IEEE Transactions on Image Processing
Image segmentation algorithms based on the machine learning of features
Pattern Recognition Letters
Radial basis function based level set interpolation and evolution for deformable modelling
Image and Vision Computing
Novelty detection on metallic surfaces by GMM learning in gabor space
ICIAR'10 Proceedings of the 7th international conference on Image Analysis and Recognition - Volume Part II
Wavelet-based defect detection in solar wafer images with inhomogeneous texture
Pattern Recognition
Texture descriptor based on partially self-avoiding deterministic walker on networks
Expert Systems with Applications: An International Journal
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We present an approach to detecting and localizing defects in random color textures which requires only a few defect free samples for unsupervised training. It is assumed that each image is generated by a superposition of various-size image patches with added variations at each pixel position. These image patches and their corresponding variances are referred to here as textural exemplars or texems. Mixture models are applied to obtain the texems using multiscale analysis to reduce the computational costs. Novelty detection on color texture surfaces is performed by examining the same-source similarity based on the data likelihood in multiscale, followed by logical processes to combine the defect candidates to localize defects. The proposed method is compared against a Gabor filter bank-based novelty detection method. Also, we compare different texem generalization schemes for defect detection in terms of accuracy and efficiency.