Study of statistical methods for texture analysis and their modern evolutions

A Ramola, AK Shakya, D Van Pham - Engineering Reports, 2020 - Wiley Online Library
Texture analysis is widely performed in the current time as it is considered as an intimate
property of the surface. It is widely used in the field of image processing, remote sensing …

A comprehensive study on face recognition: methods and challenges

P Payal, MM Goyani - The Imaging Science Journal, 2020 - Taylor & Francis
Face Recognition is the process of identifying and verifying the faces. Face recognition has
vast importance in the field of Security, Healthcare, Banking, Criminal Identification …

Bark texture classification using improved local ternary patterns and multilayer neural network

S Fekri-Ershad - Expert Systems with Applications, 2020 - Elsevier
Tree identification is one of the areas that are regarded by researchers. It is done by human
expert with high cost. Experts believe that tree bark has a high relation with species in …

A local multiple patterns feature descriptor for face recognition

W Yang, X Zhang, J Li - Neurocomputing, 2020 - Elsevier
Human perception of a signal depends on the ratio of the change of stimulus to the stimulus
itself while the change of stimulus to the stimulus itself is usually ignored in hand-crafted …

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 …

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 …

Local binary pattern-based on-road vehicle detection in urban traffic scene

M Hassaballah, MA Kenk, IM El-Henawy - Pattern Analysis and …, 2020 - Springer
For intelligent traffic monitoring systems and related applications, detecting vehicles on
roads is a vital step. However, robust and efficient vehicles detection is still a challenging …

Fusion of complex networks and randomized neural networks for texture analysis

LC Ribas, JJMS Junior, LFS Scabini, OM Bruno - Pattern Recognition, 2020 - Elsevier
This paper presents a high discriminative texture analysis method based on the fusion of
complex networks and randomized neural networks. In this approach, the input image is …

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 …

Smoke vehicle detection based on multi-feature fusion and hidden Markov model

H Tao, X Lu - Journal of Real-Time Image Processing, 2020 - Springer
Existing smoke vehicle detection methods and vision-based smoke detection methods are
vulnerable to false alarms. This paper presents an automatic smoke vehicle detection …