Texture discrimination by Gabor functions
Biological Cybernetics
Pattern Recognition
A survey of thresholding techniques
Computer Vision, Graphics, and Image Processing
Texture Features for Browsing and Retrieval of Image Data
IEEE Transactions on Pattern Analysis and Machine Intelligence
Minimum error thresholding: a note
Pattern Recognition Letters
An automatic system for dirt in pulp inspection using hierarchical image segmentation
Computers and Industrial Engineering
Multiresolution Gray-Scale and Rotation Invariant Texture Classification with Local Binary Patterns
IEEE Transactions on Pattern Analysis and Machine Intelligence
Rotation-invariant texture classification
Pattern Recognition Letters
Face Detection Using Improved LBP under Bayesian Framework
ICIG '04 Proceedings of the Third International Conference on Image and Graphics
Evaluation of the effects of Gabor filter parameters on texture classification
Pattern Recognition
Evolutionary Artificial Neural Network Design and Training for wood veneer classification
Engineering Applications of Artificial Intelligence
Soft computing for automated surface quality analysis of exterior car body panels
Applied Soft Computing
Quality grading of painted slates using texture analysis
Computers in Industry
A real-time machine-vision system for monitoring the textile raising process
Computers in Industry
InsPulp-I©: An on-line visual inspection system for the pulp industry
Computers in Industry
Texture classification through combination of sequential colour texture classifiers
CIARP'07 Proceedings of the Congress on pattern recognition 12th Iberoamerican conference on Progress in pattern recognition, image analysis and applications
Expert Systems with Applications: An International Journal
Intelligent computer vision system for segregating recyclable waste papers
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Automatic classification of granite tiles through colour and texture features
Expert Systems with Applications: An International Journal
A new criterion for automatic multilevel thresholding
IEEE Transactions on Image Processing
Texture Description Through Histograms of Equivalent Patterns
Journal of Mathematical Imaging and Vision
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We present a sequential, two-step procedure based on machine vision for detecting and characterizing impurities in paper. The method is based on a preliminary classification step to differentiate defective paper patches (i.e., with impurities) from non-defective ones (i.e., with no impurities), followed by a thresholding step to separate the impurities from the background. This approach permits to avoid the artifacts which occur when thresholding is applied to paper samples that contain no impurities. We discuss and compare different solutions and methods to implement the procedure and experimentally validate it on a datasets of 11 paper classes. The results show that a marked increase in detection accuracy can be obtained with the two-step procedure in comparison with thresholding alone.