Local linear transforms for texture measurements
Signal Processing
Texture feature performance for image segmentation
Pattern Recognition
Introduction to statistical pattern recognition (2nd ed.)
Introduction to statistical pattern recognition (2nd ed.)
Unsupervised texture segmentation using Gabor filters
Pattern Recognition
Biologically motivated computationally intensive approaches to image pattern recognition
Future Generation Computer Systems - Special double issue: high performance computing and networking (HPCN)
Comparison of several approaches for the segmentation of texture images
Pattern Recognition Letters
A Computational Model of Periodic-Pattern-Selective Cells
IWANN '96 Proceedings of the International Workshop on Artificial Neural Networks: From Natural to Artificial Neural Computation
A Max-Min Measure for Image Texture Analysis
IEEE Transactions on Computers
A new fuzzy segmentation approach based on S-FCM type 2 using LBP-GCO features
Image Communication
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The performance of two well-known texture operators (based on Gabor-energy and the cooccurrence matrix) is compared with the performance of a new, biologically motivated texture operator, the grating cell operator, which was proposed elsewhere by the authors. The comparison is made using a new quantitative method, based on the Fisher criterion. Together with some classification results comparison experiments the comparison shows a clear superiority of the new operator in oriented texture problems.