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» Multi-class feature selection for texture classification
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ICPR
2000
IEEE
15 years 1 months ago
Robust Texture Classification by Subsets of Local Binary Patterns
Recently, a nonparametric approach to texture analysis has been developed, in which the distributions of simple texture measures based on local binary patterns (LBP) are used for ...
Topi Mäenpää, Timo Ojala, Matti Pie...
ICTAI
1992
IEEE
15 years 1 months ago
Genetic Algorithms as a Tool for Feature Selection in Machine Learning
This paper describes an approach being explored to improve the usefulness of machine learning techniques for generating classification rules for complex, real world data. The appr...
Haleh Vafaie, Kenneth A. De Jong
PAA
2008
14 years 9 months ago
Fusion of textural statistics using a similarity measure: application to texture recognition and segmentation
Abstract Features computed as statistics (e.g. histograms) of local filter responses have been reported as the most powerful descriptors for texture classification and segmentation...
Imen Karoui, Ronan Fablet, Jean-Marc Boucher, Wojc...
ICIP
2006
IEEE
15 years 11 months ago
Perceptual Feature Selection for Semantic Image Classification
Content-based image retrieval has become an indispensable tool for managing the rapidly growing collections of digital images. The goal is to organize the contents semantically, a...
Dejan Depalov, Thrasyvoulos N. Pappas, Dongge Li, ...
108
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CVPR
2003
IEEE
15 years 11 months ago
A Sparse Texture Representation Using Affine-Invariant Regions
This paper introduces a texture representation suitable for recognizing images of textured surfaces under a wide range of transformations, including viewpoint changes and nonrigid...
Svetlana Lazebnik, Cordelia Schmid, Jean Ponce