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 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 …
[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 …
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 novel interdependence based multilevel thresholding technique using adaptive equilibrium optimizer
The multilevel thresholding is one important operation in computer vision, which is a subfield
of artificial intelligence (AI), used to understand and interpret the data in the real world. The …
of artificial intelligence (AI), used to understand and interpret the data in the real world. The …
Modified grasshopper algorithm-based multilevel thresholding for color image segmentation
Multilevel thresholding is an important approach for image segmentation which has drawn
much attention during the past few years. The Tsallis entropy method is implemented for its …
much attention during the past few years. The Tsallis entropy method is implemented for its …
An opposition equilibrium optimizer for context-sensitive entropy dependency based multilevel thresholding of remote sensing images
Earlier 1D histogram-based entropic methods for multilevel image thresholding suffer from
the lack of contextual information. Subsequently, the idea was extended for 2D histogram …
the lack of contextual information. Subsequently, the idea was extended for 2D histogram …
Multi-level image thresholding based on modified spherical search optimizer and fuzzy entropy
Multi-level thresholding is one of the effective segmentation methods that have been applied
in many applications. Traditional methods face challenges in determining the suitable …
in many applications. Traditional methods face challenges in determining the suitable …
An optimal color image multilevel thresholding technique using grey-level co-occurrence matrix
Image thresholding is a process that separates particular object within an image from their
background. An optimal thresholding technique can be taken as a single objective …
background. An optimal thresholding technique can be taken as a single objective …
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 …