Filtering for Texture Classification: A Comparative Study
IEEE Transactions on Pattern Analysis and Machine Intelligence
Digital image processing techniques for automatic textile quality control
Systems Analysis Modelling Simulation - Special issue: Digital signal processing and control
Texture discrimination and analysis using optimized bi-orthogonal wavelet bases
SPPRA'06 Proceedings of the 24th IASTED international conference on Signal processing, pattern recognition, and applications
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Pattern Recognition
Texture classification using sparse frame-based representations
EURASIP Journal on Applied Signal Processing
Detection by the stochastic classification matched filter
ISPRA'06 Proceedings of the 5th WSEAS International Conference on Signal Processing, Robotics and Automation
Texture classification by modeling joint distributions of local patterns with Gaussian mixtures
IEEE Transactions on Image Processing
A filter-based approach towards automatic detection of microcalcification
IWDM'06 Proceedings of the 8th international conference on Digital Mammography
Deformable-Model based textured object segmentation
EMMCVPR'05 Proceedings of the 5th international conference on Energy Minimization Methods in Computer Vision and Pattern Recognition
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The design of filters for texture feature extraction is addressed. Based on a new feature extraction model, optimization approaches utilizing various feature (energy) separation criteria are developed. Both two- and multiple-texture problems are addressed. The approaches are assessed by supervised segmentation experiments. The experiments also include results from alternative filter optimization approaches