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 …

[PDF][PDF] Binarization Methods in Multimedia Systems when Recognizing License Plates of Cars

AJA Tahseen, S Sotnik, T Sinelnikova, V Lyashenko - 2023 - openarchive.nure.ua
Анотація This work is aimed at analyzing methods of binarization in multimedia systems
when recognizing license plates of cars. In order to carry out binarization license plates …

Mathematical morphology-based local fault detection in DC Microgrid clusters

N Bayati, HR Baghaee, A Hajizadeh, M Soltani… - Electric Power Systems …, 2021 - Elsevier
A new local current-based fast high impedance fault (HIF) detection scheme for DC
microgrid clusters using mathematical morphology (MM) is proposed in this paper. The …

SAR image change detection based on mathematical morphology and the K-means clustering algorithm

L Liu, Z Jia, J Yang, NK Kasabov - IEEE Access, 2019 - ieeexplore.ieee.org
Synthetic aperture radar (SAR) images have been applied in disaster monitoring and
environmental monitoring. With the objective of reducing the effect of noise on SAR image …

Design of a tomato classifier based on machine vision

L Liu, Z Li, Y Lan, Y Shi, Y Cui - PloS one, 2019 - journals.plos.org
This paper attempts to design an automated, efficient and intelligent tomato grading method
that facilitates the graded selling of the fruit. Based on machine vision, the color images of …

Morphological filter detector for image forensics applications

G Boato, DT Dang-Nguyen, FGB De Natale - Ieee Access, 2020 - ieeexplore.ieee.org
Mathematical morphology provides a large set of powerful non-linear image operators,
widely used for feature extraction, noise removal or image enhancement. Although …

A new adaptive remote sensing extraction algorithm for complex muddy coast waterline

Z Yang, L Wang, W Sun, W Xu, B Tian, Y Zhou… - Remote Sensing, 2022 - mdpi.com
Coastline is an important geographical element of the boundary between ocean and land.
Due to the impact of the ocean-land interactions at multiple temporal-spatial scales and the …

Novel edge detection method for nuclei segmentation of liver cancer histopathology images

S Roy, D Das, S Lal, J Kini - Journal of Ambient Intelligence and …, 2023 - Springer
In automatic cancer detection, nuclei segmentation is a very essential step which enables
the classification task simpler and computationally more efficient. However, automatic nuclei …

Microbicidal study of zinc oxide nanocomposites based coir geotextile with image processing

AS Desai, V Dabir, A Ashok, Z Wu, HM Pathan, Z Guo… - ES General, 2024 - espublisher.com
Coir geotextiles, as biodegradable geosynthetics, are increasingly applied in infrastructure
projects like river training, coastal protection, and bridge abutments. Despite their …

Brain hemorrhage classification in CT scan images using minimalist machine learning

JL Solorio-Ramírez, M Saldana-Perez, MD Lytras… - Diagnostics, 2021 - mdpi.com
Over time, a myriad of applications have been generated for pattern classification
algorithms. Several case studies include parametric classifiers such as the Multi-Layer …