[HTML][HTML] A differential evolutionary adaptive Harris hawks optimization for two dimensional practical Masi entropy-based multilevel image thresholding
The prey gets completely exhausted in Harris hawks optimization (HHO), when the escape
energy is zero. Its exploration ability is limited. The random operator selected in HHO is a …
energy is zero. Its exploration ability is limited. The random operator selected in HHO is a …
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 …
An adaptive Harris hawks optimization technique for two dimensional grey gradient based multilevel image thresholding
A metaheuristic algorithm called Harris hawks optimization (HHO) is gaining its popularity
among its clan and useful for optimization. In this algorithm, the prey gets completely …
among its clan and useful for optimization. In this algorithm, the prey gets completely …
A leader Harris hawks optimization for 2-D Masi entropy-based multilevel image thresholding
The multilevel image thresholding is one of the important steps in multimedia tools to
understand and interpret the object in the real world. Nevertheless, 1-D Masi entropy is quite …
understand and interpret the object in the real world. Nevertheless, 1-D Masi entropy is quite …
A differential evolution based approach for multilevel image segmentation using minimum cross entropy thresholding
Image entropy thresholding is one of the most widely used technique for multilevel
thresholding. The endeavor of this paper is to focus on obtaining the optimal threshold …
thresholding. The endeavor of this paper is to focus on obtaining the optimal threshold …
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 …
Multilevel image thresholding based on 2D histogram and maximum Tsallis entropy—a differential evolution approach
Multilevel thresholding amounts to segmenting a gray-level image into several distinct
regions. This paper presents a 2D histogram based multilevel thresholding approach to …
regions. This paper presents a 2D histogram based multilevel thresholding approach to …
A novel diagonal class entropy-based multilevel image thresholding using coral reef optimization
In the normal image thresholding methods based on two-dimensional histogram, the edge
information of the regions is not maintained because of the local averaging activity used …
information of the regions is not maintained because of the local averaging activity used …
Masi entropy based multilevel thresholding for image segmentation
AKM Khairuzzaman, S Chaudhury - Multimedia Tools and Applications, 2019 - Springer
A new multilevel thresholding based image segmentation technique is developed which
utilizes Masi entropy as an objective function. Thresholding is an important image …
utilizes Masi entropy as an objective function. Thresholding is an important image …
An efficient multilevel image thresholding method based on improved heap-based optimizer
EH Houssein, GM Mohamed, IA Ibrahim… - Scientific Reports, 2023 - nature.com
Image segmentation is the process of separating pixels of an image into multiple classes,
enabling the analysis of objects in the image. Multilevel thresholding (MTH) is a method …
enabling the analysis of objects in the image. Multilevel thresholding (MTH) is a method …