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 feature extraction methods: A survey

A Humeau-Heurtier - IEEE access, 2019 - ieeexplore.ieee.org
Texture analysis is used in a very broad range of fields and applications, from texture
classification (eg, for remote sensing) to segmentation (eg, in biomedical imaging), passing …

A tutorial on signal energy and its applications

RC Guido - Neurocomputing, 2016 - Elsevier
This tutorial, dedicated both to young professionals and students working with digital signal
processing and pattern recognition, introduces three feature extraction approaches based …

Automatic classification of tissue malignancy for breast carcinoma diagnosis

I Fondón, A Sarmiento, AI García, M Silvestre… - Computers in biology …, 2018 - Elsevier
Breast cancer is the second leading cause of cancer death among women. Its early
diagnosis is extremely important to prevent avoidable deaths. However, malignancy …

Retrieval of colour and texture images using local directional peak valley binary pattern

S Gupta, PP Roy, DP Dogra, BG Kim - Pattern Analysis and Applications, 2020 - Springer
Many content-based image retrieval (CBIR) methods are being developed to store more and
more information about images in shorter feature vectors and to improve image retrieval …

[HTML][HTML] Live spoofing detection for automatic human activity recognition applications

VD Huszár, VK Adhikarla - Sensors, 2021 - mdpi.com
Human Activity Recognition (HAR) has become increasingly crucial in several applications,
ranging from motion-driven virtual games to automated video surveillance systems. In these …

Multi-scale LBP fusion with the contours from deep CellNNs for texture classification

M Chang, L Ji, J Zhu - Expert Systems with Applications, 2024 - Elsevier
In texture classification, local binary pattern (LBP) is currently one of the most widely-
concerned feature encoding models. Most existing LBP-based texture classification methods …

A comprehensive comparative study of handcrafted methods for face recognition LBP-like and non LBP operators

M Kas, Y El-merabet, Y Ruichek… - Multimedia Tools and …, 2020 - Springer
Pattern recognition and computer vision fields experienced the proposal of several
architectures and approaches to deal with the demands of real world applications including …

[HTML][HTML] Weighted statistical binary patterns for facial feature representation

HP Truong, TP Nguyen, YG Kim - Applied Intelligence, 2022 - Springer
We present a novel framework for efficient and robust facial feature representation based
upon Local Binary Pattern (LBP), called Weighted Statistical Binary Pattern, wherein the …

Momental directional patterns for dynamic texture recognition

TT Nguyen, TP Nguyen, F Bouchara… - Computer Vision and …, 2020 - Elsevier
Understanding the chaotic motions of dynamic textures (DTs) is a challenging problem of
video representation for different tasks in computer vision. This paper presents a new …