Efficient distance-based per-pixel texture classification with Gabor wavelet filters

Authors:
Jaime Melendez;Miguel Angel Garcia;Domenec Puig
Affiliations:
Rovira i Virgili University, Intelligent Robotics and Computer Vision Group, Department of Computer Science and Mathematics, Av. Països Catalans 26, 43007, Tarragona, Spain;Autonomous University of Madrid, Department of Informatics Engineering, Francisco Tomas y Valiente 11, 28049, Madrid, Spain;Rovira i Virgili University, Intelligent Robotics and Computer Vision Group, Department of Computer Science and Mathematics, Av. Països Catalans 26, 43007, Tarragona, Spain
Venue:
Pattern Analysis & Applications - Special Issue: Non-parametric distance-based classification techniques and their applications
Year:
2008

Citing 0
Cited 3

Texture classification using refined histogram

IEEE Transactions on Image Processing
Multi-level pixel-based texture classification through efficient prototype selection via normalized cut

Pattern Recognition
Unsupervised texture-based image segmentation through pattern discovery

Computer Vision and Image Understanding

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper proposes an efficient solution to the problem of per-pixel classification of textured images with multichannel Gabor wavelet filters based on a selection scheme that automatically determines a subset of prototypes that characterize each texture class. Results with Brodatz compositions and outdoor images, and comparisons with alternative classification techniques are presented.