A Theory for Multiresolution Signal Decomposition: The Wavelet Representation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Texture Features for Browsing and Retrieval of Image Data
IEEE Transactions on Pattern Analysis and Machine Intelligence
Geodesic estimation in elliptical distributions
Journal of Multivariate Analysis
A flexible image database system for content-based retrieval
Computer Vision and Image Understanding - Special issue on content-based access for image and video libraries
Some approaches to best-match file searching
Communications of the ACM
A note on a method for generating points uniformly on n-dimensional spheres
Communications of the ACM
A distance between elliptical distributions based in an embedding into the Siegel group
Journal of Computational and Applied Mathematics
Texture Similarity Measure Using Kullback-Leibler Divergence between Gamma Distributions
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part III
Texture Recognition Using a Non-Parametric Multi-Scale Statistical Model
CVPR '98 Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
Handbook of Mathematical Functions, With Formulas, Graphs, and Mathematical Tables,
Handbook of Mathematical Functions, With Formulas, Graphs, and Mathematical Tables,
Journal of Mathematical Imaging and Vision
Hyperspectral Data Exploitation: Theory and Applications
Hyperspectral Data Exploitation: Theory and Applications
A Riemannian approach to anisotropic filtering of tensor fields
Signal Processing
Image retrieval: Ideas, influences, and trends of the new age
ACM Computing Surveys (CSUR)
Denoising of multicomponent images using wavelet least-squares estimators
Image and Vision Computing
A Statistical Approach to Material Classification Using Image Patch Exemplars
IEEE Transactions on Pattern Analysis and Machine Intelligence
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
On the Geometry of Multivariate Generalized Gaussian Models
Journal of Mathematical Imaging and Vision
Statistical texture characterization from discrete wavelet representations
IEEE Transactions on Image Processing
Wavelet-based texture retrieval using generalized Gaussian density and Kullback-Leibler distance
IEEE Transactions on Image Processing
Building robust wavelet estimators for multicomponent images using Stein's principle
IEEE Transactions on Image Processing
IEEE Transactions on Image Processing
Rotation-invariant texture retrieval with gaussianized steerable pyramids
IEEE Transactions on Image Processing
IEEE Transactions on Image Processing
IEEE Transactions on Circuits and Systems for Video Technology
On the Geometry of Multivariate Generalized Gaussian Models
Journal of Mathematical Imaging and Vision
Shift recompression-based feature mining for detecting content-aware scaled forgery in JPEG images
Proceedings of the Twelfth International Workshop on Multimedia Data Mining
Multi-model approach for multicomponent texture classification
ICISP'12 Proceedings of the 5th international conference on Image and Signal Processing
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We consider the Rao geodesic distance (GD) based on the Fisher information as a similarity measure on the manifold of zero-mean multivariate generalized Gaussian distributions (MGGD). The MGGD is shown to be an adequate model for the heavy-tailed wavelet statistics in multicomponent images, such as color or multispectral images. We discuss the estimation of MGGD parameters using various methods. We apply the GD between MGGDs to color texture discrimination in several classification experiments, taking into account the correlation structure between the spectral bands in the wavelet domain. We compare the performance, both in terms of texture discrimination capability and computational load, of the GD and the Kullback-Leibler divergence (KLD). Likewise, both uni- and multivariate generalized Gaussian models are evaluated, characterized by a fixed or a variable shape parameter. The modeling of the interband correlation significantly improves classification efficiency, while the GD is shown to consistently outperform the KLD as a similarity measure.