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 …

Presentation attack detection methods for face recognition systems: A comprehensive survey

R Ramachandra, C Busch - ACM Computing Surveys (CSUR), 2017 - dl.acm.org
The vulnerability of face recognition systems to presentation attacks (also known as direct
attacks or spoof attacks) has received a great deal of interest from the biometric community …

A novel content-based image retrieval approach for classification using GLCM features and texture fused LBP variants

M Garg, G Dhiman - Neural Computing and Applications, 2021 - Springer
This paper presents a content-based image retrieval technique that focuses on extraction
and reduction in multiple features. To obtain multi-level decomposition of the image by …

Local binary patterns and extreme learning machine for hyperspectral imagery classification

W Li, C Chen, H Su, Q Du - IEEE Transactions on Geoscience …, 2015 - ieeexplore.ieee.org
It is of great interest in exploiting texture information for classification of hyperspectral
imagery (HSI) at high spatial resolution. In this paper, a classification paradigm to exploit rich …

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 …

New color image encryption scheme based on multi-parameter fractional discrete Tchebyshev moments and nonlinear fractal permutation method

CF Duan, J Zhou, LH Gong, JY Wu, NR Zhou - Optics and Lasers in …, 2022 - Elsevier
A novel color image encryption scheme is presented by combining the multi-parameter
fractional discrete Tchebyshev moments (MPFrDTMs) with the nonlinear fractal permutation …

Invariant scattering convolution networks

J Bruna, S Mallat - IEEE transactions on pattern analysis and …, 2013 - ieeexplore.ieee.org
A wavelet scattering network computes a translation invariant image representation which is
stable to deformations and preserves high-frequency information for classification. It …

Binary patterns encoded convolutional neural networks for texture recognition and remote sensing scene classification

RM Anwer, FS Khan, J Van De Weijer… - ISPRS journal of …, 2018 - Elsevier
Designing discriminative powerful texture features robust to realistic imaging conditions is a
challenging computer vision problem with many applications, including material recognition …

Content-based image retrieval: A review of recent trends

IM Hameed, SH Abdulhussain… - Cogent Engineering, 2021 - Taylor & Francis
With the availability of internet technology and the low-cost of digital image sensor,
enormous amount of image databases have been created in different kind of applications …