Local linear transforms for texture measurements
Signal Processing
A taxonomy for texture description and identification
A taxonomy for texture description and identification
Texture features based on texture spectrum
Pattern Recognition
Identifying high level features of texture perception
CVGIP: Graphical Models and Image Processing
A review of recent texture segmentation and feature extraction techniques
CVGIP: Image Understanding
Computer Analysis of Visual Textures
Computer Analysis of Visual Textures
Multiresolution Gauss-Markov random field models for texture segmentation
IEEE Transactions on Image Processing
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The aim of this work is determining a minimum set of perceptual features allowing microtexture description, in the textured aerial images domain, and adequate computational methods for the evaluation of those features. Moreover, fuzzy techniques are introduced in the features evaluation process to be faithful to the principle of least commitment, and to make easier the management of uncertainty inherent to perceptual features of microtextures.Choosing aerial images for the fulfillment of the work is based on the broad range of microtextures contained in this kind of images, their uncertainty, variability and inherent complexity.Obtaining a "minimum" set of perceptual features has been possible considering how experts usually describe microtextures of aerial images, what features are important in visual texture perception, and how they are used. On the other hand, texture measures that correlate well with human perception have been picked to evaluate previously selected features.To illustrate the effectiveness of incorporating fuzzy techniques within our approach, the resulting computational method is applied to detect some textures of aerial images.