ASCAEO: accelerated sine cosine algorithm hybridized with equilibrium optimizer with application in image segmentation using multilevel thresholding
S Thapliyal, N Kumar - Evolving Systems, 2024 - Springer
The current trend in global optimization research is to hybridize multiple variants to improve
the quality of solutions to real-world problems that have recently arisen in practise. This …
the quality of solutions to real-world problems that have recently arisen in practise. This …
Threshold segmentation of PCB defect image grid based on finite difference dispersion for providing accuracy in the IoT based data of smart cities
K Fang - International Journal of System Assurance Engineering …, 2022 - Springer
The image segmentation is a process of segregating image into manageable partitions or
segments. Image segmentation involves segmentation of foreground from background …
segments. Image segmentation involves segmentation of foreground from background …
Enhanced Chimp Optimization Algorithm Using Attack Defense Strategy and Golden Update Mechanism for Robust COVID-19 Medical Image Segmentation
Medical image segmentation is a powerful and evolving technology in medical diagnosis. In
fact, it has been identified as a very effective tool to support and accompany doctors in their …
fact, it has been identified as a very effective tool to support and accompany doctors in their …
Multilevel color image segmentation using modified fuzzy entropy and cuckoo search algorithm
To handle the fuzziness and spatial uncertainties among pixels entailed in color images, this
paper proposes a novel fuzzy entropy function for multi-threshold image segmentation …
paper proposes a novel fuzzy entropy function for multi-threshold image segmentation …
Dynamic chaotic Gold-Panning Optimizer and its typical engineering applications
Swarm intelligence algorithms are one of the key technologies in solving optimization
problems for practical engineering applications, such as mechanical structure design, image …
problems for practical engineering applications, such as mechanical structure design, image …
Thresholding algorithm applied to chest X-ray images with pneumonia
J Murillo-Olmos, E Rodríguez-Esparza… - … in Machine Learning …, 2021 - Springer
Chest radiography is one of the most widely used imaging techniques for the detection and
diagnosis of lung diseases. However, the correct extraction of information in these images is …
diagnosis of lung diseases. However, the correct extraction of information in these images is …
Constriction coefficient-based particle swarm optimization and gravitational search algorithm for image segmentation
Image segmentation is one of the pivotal steps in image processing. Actually, it deals with
the partitioning of the image into different classes based on pixel intensities. In this work, a …
the partitioning of the image into different classes based on pixel intensities. In this work, a …
[PDF][PDF] State-of-the Art Optimal Multilevel Thresholding Methods for Brain MR Image Analysis.
A Das, S Agrawal, L Samantaray… - Revue d'Intelligence …, 2020 - softcomputing.net
Accepted: 25 May 2020 The brain MR image analysis is a primary non-invasive component
to detect any abnormality in the brain. It is a very important application in the field of medical …
to detect any abnormality in the brain. It is a very important application in the field of medical …
An arc profile–based approach to evaluate gas pollutants in welding
Welding is widely used to make assembly of structural components and it will trigger serious
environmental pollution, especially waste gas, ie, carbon dioxide (CO2), ozone (O3) …
environmental pollution, especially waste gas, ie, carbon dioxide (CO2), ozone (O3) …
Battle royale optimizer for multilevel image thresholding
Image segmentation, the process of partitioning an image into meaningful regions, is a
fundamental step in image processing, crucial for applications like computer vision, medical …
fundamental step in image processing, crucial for applications like computer vision, medical …