The present work proposes the development of a novel method to provide descriptors for colored texture images. The method consists in two steps. In the first, we apply a linear transform in the color space of the image aiming at highlighting spatial structuring relations among the color of pixels. In a second moment, we apply a multiscale approach to the calculus of fractal dimension based on Fourier transform. From this multiscale operation, we extract the descriptors used to discriminate the texture represented in digital images. The accuracy of the method is verified in the classification of two color texture datasets, by comparing the performance of the proposed technique to other classical and state-of-the-art methods for color texture analysis. The results showed an advantage of almost 3% of the proposed technique over the second best approach.
Multiscale Analysis for Improving Texture Classification
École de Technologie Supérieure, University of Québec（魁北克大学高等技术学院）；Instituto Federal do Sul de Minas Gerais（南米纳斯吉拉斯联邦学院）；Pontificia Universidade Catolica do Paraná（巴拉那天主教大学）
FoodSense: A Multisensory Food Dataset and Benchmark for Predicting Taste, Smell, Texture, and Sound from Images
College of Engineering and Computer Science, University of Central Florida（中央佛罗里达大学工程与计算机科学学院）；College of Business Administration, University of Central Florida（中央佛罗里达大学商学院）；Institute of Artificial Intelligence, University of Central Florida（中央佛罗里达大学人工智能研究所）
Enhancing fractal descriptors on images by combining boundary and interior of Minkowski dilation
Institute of Mathematics and Computer Science, University of São Paulo（圣保罗大学数学与计算机科学研究所）；São Carlos Institute of Physics, University of São Paulo（圣保罗大学圣卡洛斯物理研究所）
Spatio-spectral networks for color-texture analysis
São Carlos Institute of Physics, University of São Paulo（圣保罗大学圣卡洛斯物理研究所）；Institute of Mathematics and Computer Science, University of São Paulo（圣保罗大学数学与计算机科学研究所）
Discriminating image textures with the multiscale two-dimensional complexity-entropy causality plane
Centro de Investigaciones Ópticas (CONICET La Plata - CIC)（光学研究中心（CONICET La Plata - CIC））；Universidad Nacional de La Plata (UNLP)（拉普拉塔国立大学）；Universidade Estadual de Maringá（马林加州立大学）
