Histogram-based local descriptors for facial expression recognition (FER): A comprehensive study
This paper aims to present histogram-based local descriptors applied to Facial Expression
Recognition (FER) from static images and provide a systematic review and analysis of them …
Recognition (FER) from static images and provide a systematic review and analysis of them …
Facial expression recognition using iterative universum twin support vector machine
B Richhariya, D Gupta - Applied Soft Computing, 2019 - Elsevier
Facial expressions are one of the most important characteristics of human behaviour. They
are very useful in applications on human computer interaction. To classify facial emotions …
are very useful in applications on human computer interaction. To classify facial emotions …
Robust phase-based texture descriptor for classification of breast ultrasound images
L Cai, X Wang, Y Wang, Y Guo, J Yu… - Biomedical engineering …, 2015 - Springer
Background Classification of breast ultrasound (BUS) images is an important step in the
computer-aided diagnosis (CAD) system for breast cancer. In this paper, a novel phase …
computer-aided diagnosis (CAD) system for breast cancer. In this paper, a novel phase …
Multi-resolution intrinsic texture geometry-based local binary pattern for texture classification
N Alpaslan, K Hanbay - IEEE Access, 2020 - ieeexplore.ieee.org
In this paper, we propose a new hybrid Local Binary Pattern (LBP) based on Hessian matrix
and Attractive Center-Symmetric LBP (ACS-LBP), called Hess-ACS-LBP. d The Hessian …
and Attractive Center-Symmetric LBP (ACS-LBP), called Hess-ACS-LBP. d The Hessian …
Feature based analysis of thermal images for emotion recognition
Thermal imaging has recently been investigated in automatic emotion identification to get an
insight into reliable information about human emotion. However, the methods employed to …
insight into reliable information about human emotion. However, the methods employed to …
Neutrosophic set based local binary pattern for texture classification
N Alpaslan - Expert Systems with Applications, 2022 - Elsevier
This paper presents novel neutrosophic set-based Completed Local Binary Pattern (CLBP)
hybrid methods. These methods first transform the input image into a neutrosophic domain …
hybrid methods. These methods first transform the input image into a neutrosophic domain …
COVID-19 Image Classification: A Comparative Performance Analysis of Hand-Crafted vs. Deep Features
S Alinsaif - Computation, 2024 - mdpi.com
This study investigates techniques for medical image classification, specifically focusing on
COVID-19 scans obtained through computer tomography (CT). Firstly, handcrafted methods …
COVID-19 scans obtained through computer tomography (CT). Firstly, handcrafted methods …
[HTML][HTML] Biological Basis and Computer Vision Applications of Image Phase Congruency: A Comprehensive Survey
Y Tian, M Wen, D Lu, X Zhong, Z Wu - Biomimetics, 2024 - mdpi.com
The concept of Image Phase Congruency (IPC) is deeply rooted in the way the human visual
system interprets and processes spatial frequency information. It plays an important role in …
system interprets and processes spatial frequency information. It plays an important role in …
Exploiting cascaded ensemble of features for the detection of tuberculosis using chest radiographs
Tuberculosis (TB) is a communicable disease that is one of the top 10 causes of death
worldwide according to the World Health Organization. Hence, Early detection of …
worldwide according to the World Health Organization. Hence, Early detection of …
Age‐invariant face recognition system using combined shape and texture features
AS Osman Ali, V Sagayan, AM Saeed, H Ameen… - IET …, 2015 - Wiley Online Library
This work presents an approach for combining texture and shape feature sets towards age‐
invariant face recognition. Physiological studies have proven that the human visual system …
invariant face recognition. Physiological studies have proven that the human visual system …