A review of recent texture segmentation and feature extraction techniques
CVGIP: Image Understanding
Filtering for Texture Classification: A Comparative Study
IEEE Transactions on Pattern Analysis and Machine Intelligence
Segmentation of Bone in Clinical Knee MRI Using Texture-Based Geodesic Active Contours
MICCAI '98 Proceedings of the First International Conference on Medical Image Computing and Computer-Assisted Intervention
Generalized sliding FFT and its application to implementation ofblock LMS adaptive filters
IEEE Transactions on Signal Processing
Optimal Gabor filters for texture segmentation
IEEE Transactions on Image Processing
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The variance of image intensities in a moving window is an indicator of texture which can be calculated very efficiently and perhabs deserves to be more widely used. Ways in which it can be extended to comparisons of responses with different window sizes, to calculation of lagged autocorrelations and to anisotropic measurements are described and illustrated.