[HTML][HTML] Self-organizing migrating algorithm: review, improvements and comparison
L Skanderova - Artificial Intelligence Review, 2023 - Springer
The self-organizing migrating algorithm (SOMA) is a population-based meta-heuristic that
belongs to swarm intelligence. In the last 20 years, we can observe two main streams in the …
belongs to swarm intelligence. In the last 20 years, we can observe two main streams in the …
Population-based self-adaptive Generalised Masi Entropy for image segmentation: A novel representation
Image segmentation is an indispensable part of computer vision applications, and image
thresholding is a popular one due to its simplicity and robustness. Generalised Masi entropy …
thresholding is a popular one due to its simplicity and robustness. Generalised Masi entropy …
An efficient method to minimize cross-entropy for selecting multi-level threshold values using an improved human mental search algorithm
The minimum cross-entropy (MCIT) is introduced as a multi-level image thresholding
approach, but it suffers from time complexity, in particular, when the number of thresholds is …
approach, but it suffers from time complexity, in particular, when the number of thresholds is …
[HTML][HTML] A grouping differential evolution algorithm boosted by attraction and repulsion strategies for masi entropy-based multi-level image segmentation
Masi entropy is a popular criterion employed for identifying appropriate threshold values in
image thresholding. However, with an increasing number of thresholds, the efficiency of …
image thresholding. However, with an increasing number of thresholds, the efficiency of …
HCS-BBD: An effective population-based approach for multi-level thresholding
SJ Mousavirad, G Schaefer, D Oliva… - Proceedings of the …, 2021 - dl.acm.org
Thresholding is one of the most common techniques for image segmentation where an
image is partitioned into several parts based on its histogram of pixel intensities …
image is partitioned into several parts based on its histogram of pixel intensities …