Automatic visual inspection of wooden pallets
IEA/AIE'2003 Proceedings of the 16th international conference on Developments in applied artificial intelligence
Motif-based defect detection for patterned fabric
Pattern Recognition
Fabric defect detection using modified local binary patterns
EURASIP Journal on Advances in Signal Processing
Fabric defect detection using morphological filters
Image and Vision Computing
Texture defect detection system with image deflection compensation
WSEAS Transactions on Computers
Research on surface quality evaluation system of steel strip based on computer vision
IITA'09 Proceedings of the 3rd international conference on Intelligent information technology application
Detection of defect in textile fabrics using optimal Gabor wavelet network and two-dimensional PCA
ISVC'11 Proceedings of the 7th international conference on Advances in visual computing - Volume Part II
NN automated defect detection based on optimized thresholding
ICIAR'06 Proceedings of the Third international conference on Image Analysis and Recognition - Volume Part II
Leather inspection based on wavelets
IbPRIA'05 Proceedings of the Second Iberian conference on Pattern Recognition and Image Analysis - Volume Part II
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
Intelligent real-time fabric defect detection
ICIAR'07 Proceedings of the 4th international conference on Image Analysis and Recognition
Yarn periodical errors determination using three signal processing approaches
Digital Signal Processing
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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. The performance of different feature separation criteria 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.