[HTML][HTML] Differential evolution and its applications in image processing problems: a comprehensive review
Differential evolution (DE) is one of the highly acknowledged population-based optimization
algorithms due to its simplicity, user-friendliness, resilience, and capacity to solve problems …
algorithms due to its simplicity, user-friendliness, resilience, and capacity to solve problems …
Retinal fundus images for glaucoma analysis: the RIGA dataset
A Almazroa, S Alodhayb, E Osman… - Medical Imaging …, 2018 - spiedigitallibrary.org
Glaucoma neuropathy is a major cause of irreversible blindness worldwide. Current models
of chronic care will not be able to close the gap of growing prevalence of glaucoma and …
of chronic care will not be able to close the gap of growing prevalence of glaucoma and …
Image segmentation using multilevel thresholding based on type II fuzzy entropy and marine predators algorithm
The digital image segmentation is an open problem that is growing day by day and is
attracting the attention of researchers from last few years. Image resolution and their speed …
attracting the attention of researchers from last few years. Image resolution and their speed …
A hybrid transient search naked mole-rat optimizer for image segmentation using multilevel thresholding
This paper introduces a new hybrid algorithm named Transient Search Naked Mole-Rat
Optimizer (TsNMRO), based on the hybridization of transient search optimizer (TSO) merged …
Optimizer (TsNMRO), based on the hybridization of transient search optimizer (TSO) merged …
Improving image thresholding by the type II fuzzy entropy and a hybrid optimization algorithm
The segmentation of digital images is an open problem that has increasingly attracted the
attention of researchers during the last years. Thresholding approaches are often used due …
attention of researchers during the last years. Thresholding approaches are often used due …
Multilevel thresholding by fuzzy type II sets using evolutionary algorithms
The image segmentation based on Multilevel thresholding has attracted more attention in
recent years, they have been used in different applications. Therefore, several evolutionary …
recent years, they have been used in different applications. Therefore, several evolutionary …
Automatic brain tumor segmentation in MRI: Hybridized multilevel thresholding and level set
M Dawngliana, D Deb, M Handique… - … on advanced computing …, 2015 - ieeexplore.ieee.org
Segmentation of tumor from magnetic resonance image (MRI) brain images is an emergent
research area in the field of medical image segmentation. As segmentation of brain tumor …
research area in the field of medical image segmentation. As segmentation of brain tumor …
A probabilistic meta-heuristic optimisation algorithm for image multi-level thresholding
MHT Najaran - Genetic Programming and Evolvable Machines, 2023 - Springer
The spread of the Severe Acute Respiratory Syndrome CoronaVirus 2 (SARS-CoV-2) which
causes CoronaVirus Disease 2019 (COVID-19) has challenged many countries. To curb the …
causes CoronaVirus Disease 2019 (COVID-19) has challenged many countries. To curb the …
Fuzzy entropy approaches for image segmentation
Images extracted from uncontrolled environments possesses different complexities that
affects processing tasks. It also demerit the performance of segmentation approaches in …
affects processing tasks. It also demerit the performance of segmentation approaches in …
[HTML][HTML] OESA-UNet: An Adaptive and Attentional Network for Detecting Diverse Magnetopause under the Limited Field of View
J Wang, R Wang, D Li, T Sun, X Peng - Remote Sensing, 2024 - mdpi.com
Imaging has been an important strategy for exploring space weather. The Solar wind
Magnetosphere Ionosphere Link Explorer (SMILE) is a joint Chinese Academy of Sciences …
Magnetosphere Ionosphere Link Explorer (SMILE) is a joint Chinese Academy of Sciences …