IEEE Transactions on Pattern Analysis and Machine Intelligence
Segmentation and Classification of Range Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
Textons, the fundamental elements in preattentive vision and perception of textures
Readings in computer vision: issues, problems, principles, and paradigms
A Renormalization Group Approach to Image Processing Problems
IEEE Transactions on Pattern Analysis and Machine Intelligence
Multiple Resolution Segmentation of Textured Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
Unsupervised texture segmentation using Gabor filters
Pattern Recognition
Gibbs random fields, fuzzy clustering, and the unsupervised segmentation of textured images
CVGIP: Graphical Models and Image Processing
Handbook of pattern recognition & computer vision
Handbook of pattern recognition & computer vision
Markov random field modeling in computer vision
Markov random field modeling in computer vision
A Robust Clustering Algorithm Based on Competitive Agglomeration and Soft Rejection of Outliers
CVPR '96 Proceedings of the 1996 Conference on Computer Vision and Pattern Recognition (CVPR '96)
An Unsupervised Clustering Method Using the Entropy Minimization
ICPR '98 Proceedings of the 14th International Conference on Pattern Recognition-Volume 2 - Volume 2
A Mathematical Theory of Communication
A Mathematical Theory of Communication
Image Analysis, Random Fields and Markov Chain Monte Carlo Methods: A Mathematical Introduction (Stochastic Modelling and Applied Probability)
IEEE Transactions on Image Processing
Texture classification and segmentation using wavelet frames
IEEE Transactions on Image Processing
Two Variational Models for Multispectral Image Classification
EMMCVPR '01 Proceedings of the Third International Workshop on Energy Minimization Methods in Computer Vision and Pattern Recognition
Fast Statistical Level Sets Image Segmentation for Biomedical Applications
Scale-Space '01 Proceedings of the Third International Conference on Scale-Space and Morphology in Computer Vision
Double random field models for remote sensing image segmentation
Pattern Recognition Letters
Object-based and semantic image segmentation using MRF
EURASIP Journal on Applied Signal Processing
SPPR'07 Proceedings of the Fourth conference on IASTED International Conference: Signal Processing, Pattern Recognition, and Applications
SPPRA '07 Proceedings of the Fourth IASTED International Conference on Signal Processing, Pattern Recognition, and Applications
Novel classification and segmentation techniques with application to remotely sensed images
Transactions on rough sets VII
The infinite hidden Markov random field model
IEEE Transactions on Neural Networks
International Journal of Computer Vision
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Herein we propose a complete procedure to analyze and classify thetexture of an image. We apply this scheme to solve a specific image processingproblem: urban areas detection in satellite images. First we propose toanalyze the texture through the modelling of the luminance field with eightdifferent chain-based models. We then derived a texture parameter from thesemodels. The effect of the lattice anisotropy is corrected by a renormalizationgroup technique coming from statistical physics. This parameter, which takesinto account local conditional variances of the image, is compared to classicalmethods of texture analysis. Afterwards we develop a modified fuzzy Cmeansalgorithm that includes an entropy term. The advantage of such an algorithmis that the number of classes does not need to be known a priori. Besidesthis algorithm provides us with further information, i.e. the probabilitythat a given pixel belongs to a given cluster. Finally we introduce thisinformation in a Markovian model of segmentation. Some results on SPOT5simulated images, SPOT3 images and ERS1 radar images are presented. Theseimages are provided by the French National Space Agency (CNES) andthe European Space Agency (ESA).