Journal ArticleDOI
Choice of a pertinent color space for color texture characterization using parametric spectral analysis
Imtnan-Ul-Haque Qazi,Olivier Alata,Jean-Christophe Burie,Ahmed Moussa,Christine Fernandez-Maloigne +4 more
TLDR
A comparison of different color spaces including RGB, IHLS and [email protected]?a*b* for color texture characterization is presented and experimental results on pixel classification of color textures are presented and discussed.About:
This article is published in Pattern Recognition.The article was published on 2011-01-01. It has received 50 citations till now. The article focuses on the topics: RGB color model & Color space.read more
Citations
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Journal ArticleDOI
Color texture analysis based on fractal descriptors
TL;DR: The proposed approach investigates the complexity in R, G and B color channels to characterize a texture sample and proposes to study all channels in combination, taking into consideration the correlations between them.
Journal ArticleDOI
Influence of normalization and color space to color texture classification
TL;DR: An exhaustive evaluation of the state-of-the-art color texture classification methods, considering 5 different color spaces, 12 normalization methods to achieve illumination invariances, 19 texture feature vectors and 23 pure color feature vectors concludes that parallel approaches are better than integrative approaches for color texture classified achieving the first positions in the Friedman ranking.
Journal ArticleDOI
Comparative Evaluation of Hand-Crafted Image Descriptors vs. Off-the-Shelf CNN-Based Features for Colour Texture Classification under Ideal and Realistic Conditions
Raquel Bello-Cerezo,Francesco Bianconi,Francesco Di Maria,Paolo Napoletano,Fabrizio Smeraldi +4 more
TL;DR: Traditional, hand-crafted descriptors were better at discriminating stationary textures under steady imaging conditions and proved more robust than CNN-based features to image rotation, indicating a marked superiority of deep networks with non-stationary textures and in the presence of multiple changes in the acquisition conditions.
A Survey on Content Based Image Retrieval
TL;DR: This survey covers approaches used for extracting low level features; various distance measures for measuring the similarity of images, the mechanisms for reducing the semantic gap and about invariant image retrieval.
Journal ArticleDOI
Performance analysis of colour descriptors for parquet sorting
TL;DR: Simple and compact colour descriptors, such as the mean of each colour channel, are as accurate as more complicated features and the use of simple statistical descriptors along with RGB data as the best practice to approach the problem is suggested.
References
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Journal ArticleDOI
Multiresolution gray-scale and rotation invariant texture classification with local binary patterns
TL;DR: A generalized gray-scale and rotation invariant operator presentation that allows for detecting the "uniform" patterns for any quantization of the angular space and for any spatial resolution and presents a method for combining multiple operators for multiresolution analysis.
Journal ArticleDOI
Convergence Properties of the Nelder--Mead Simplex Method in Low Dimensions
TL;DR: This paper presents convergence properties of the Nelder--Mead algorithm applied to strictly convex functions in dimensions 1 and 2, and proves convergence to a minimizer for dimension 1, and various limited convergence results for dimension 2.
Proceedings ArticleDOI
Approximating the Kullback Leibler Divergence Between Gaussian Mixture Models
John R. Hershey,Peder A. Olsen +1 more
TL;DR: Two new methods, the variational approximation and the Variational upper bound, are introduced and compared to existing methods and the benefits of each one are considered and the performance of each is evaluated through numerical experiments.
Proceedings ArticleDOI
Outex - new framework for empirical evaluation of texture analysis algorithms
TL;DR: The proposed Outex framework contains a large collection of surface textures captured under different conditions, which facilitates construction of a wide range of texture analysis problems.
Journal ArticleDOI
Distance measures for signal processing and pattern recognition
TL;DR: Some classical results about error bounds in classification and feature selection for pattern recognition are recalled, which are obtained with the aid of properties of distance measures.