Texture image analysis and texture classification methods-A review

L Armi, S Fekri-Ershad - arXiv preprint arXiv:1904.06554, 2019 - arxiv.org
Tactile texture refers to the tangible feel of a surface and visual texture refers to see the
shape or contents of the image. In the image processing, the texture can be defined as a …

Texture analysis and its applications in biomedical imaging: A survey

MK Ghalati, A Nunes, H Ferreira… - IEEE Reviews in …, 2021 - ieeexplore.ieee.org
Texture analysis describes a variety of image analysis techniques that quantify the variation
in intensity and pattern. This paper provides an overview of several texture analysis …

From BoW to CNN: Two decades of texture representation for texture classification

L Liu, J Chen, P Fieguth, G Zhao, R Chellappa… - International Journal of …, 2019 - Springer
Texture is a fundamental characteristic of many types of images, and texture representation
is one of the essential and challenging problems in computer vision and pattern recognition …

Median robust extended local binary pattern for texture classification

L Liu, S Lao, PW Fieguth, Y Guo… - … on Image Processing, 2016 - ieeexplore.ieee.org
Local binary patterns (LBP) are considered among the most computationally efficient high-
performance texture features. However, the LBP method is very sensitive to image noise and …

Local binary features for texture classification: Taxonomy and experimental study

L Liu, P Fieguth, Y Guo, X Wang, M Pietikäinen - Pattern Recognition, 2017 - Elsevier
Abstract Local Binary Patterns (LBP) have emerged as one of the most prominent and
widely studied local texture descriptors. Truly a large number of LBP variants has been …

Rigid-motion scattering for texture classification

L Sifre, S Mallat - arXiv preprint arXiv:1403.1687, 2014 - arxiv.org
A rigid-motion scattering computes adaptive invariants along translations and rotations, with
a deep convolutional network. Convolutions are calculated on the rigid-motion group, with …

An unsupervised-learning-based approach for automated defect inspection on textured surfaces

S Mei, H Yang, Z Yin - IEEE transactions on instrumentation …, 2018 - ieeexplore.ieee.org
Automated defect inspection has long been a challenging task especially in industrial
applications, where collecting and labeling large amounts of defective samples are usually …

Rotation, scaling and deformation invariant scattering for texture discrimination

L Sifre, S Mallat - Proceedings of the IEEE conference on …, 2013 - openaccess.thecvf.com
An affine invariant representation is constructed with a cascade of invariants, which
preserves information for classification. A joint translation and rotation invariant …

Single-image super-resolution based on rational fractal interpolation

Y Zhang, Q Fan, F Bao, Y Liu… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
This paper presents a novel single-image super-resolution (SR) procedure, which upscales
a given low-resolution (LR) input image to a high-resolution image while preserving the …

Completed robust local binary pattern for texture classification

Y Zhao, W Jia, RX Hu, H Min - Neurocomputing, 2013 - Elsevier
Original Local Binary Pattern (LBP) descriptor has two obvious demerits, ie, it is sensitive to
noise, and sometimes it tends to characterize different structural patterns with the same …