Fourier fractal descriptors for colored texture analysis

Authors:
João B. Florindo;Odemir M. Bruno
Affiliations:
Instituto de Física de São Carlos, Universidade de São Paulo, São Carlos SP Brazil;Instituto de Física de São Carlos, Universidade de São Paulo, São Carlos SP Brazil
Venue:
ACIVS'11 Proceedings of the 13th international conference on Advanced concepts for intelligent vision systems
Year:
2011

Citing 10
Cited 0

The geometry of fractal sets

The geometry of fractal sets
Chromatic correlation features for texture recognition

Pattern Recognition Letters
Modeling and Classifying Symmetries Using a Multiscale Opponent Color Representation

IEEE Transactions on Pattern Analysis and Machine Intelligence
Multiscale Fractal Characterization of Three-Dimensional Gene Expression Data

SIBGRAPI '02 Proceedings of the 15th Brazilian Symposium on Computer Graphics and Image Processing
Color and Scale: The Spatial Structure of Color Images

ECCV '00 Proceedings of the 6th European Conference on Computer Vision-Part I
Texture Analysis Experiments with Meastex and Vistex Benchmarks

ICAPR '01 Proceedings of the Second International Conference on Advances in Pattern Recognition
Color texture measurement and segmentation

Signal Processing - Special section on content-based image and video retrieval
Fractal dimension applied to plant identification

Information Sciences: an International Journal
A multiscale representation including opponent color features for texture recognition

IEEE Transactions on Image Processing
Color and texture descriptors

IEEE Transactions on Circuits and Systems for Video Technology

Quantified Score

Hi-index	0.00

Visualization

Abstract

This work proposes the use of a texture descriptor based on the Fourier fractal dimension applied to the analysis of colored textures. The technique consists in the transform of the color space of the texture through a colorimetry approach followed by the extraction of fractal descriptors from each transformed color channell. The fractal descriptors are obtained from the Fourier fractal dimension of the texture. The descriptors are finally concatenated, composing the complete descriptors. The performance of the proposed technique is compared to the classical chromaticity moment and the state-of-the-art multispectral Gabor filters in the classification of samples from the VisTex dataset.