Firefly algorithm and its variants in digital image processing: A comprehensive review
The significance and requirements of digital image processing arise from two main areas of
applications: the improvement of visual information for human interpretation and the …
applications: the improvement of visual information for human interpretation and the …
Multilevel image segmentation based on fractional-order Darwinian particle swarm optimization
Hyperspectral remote sensing images contain hundreds of data channels. Due to the high
dimensionality of the hyperspectral data, it is difficult to design accurate and efficient image …
dimensionality of the hyperspectral data, it is difficult to design accurate and efficient image …
An efficient method for segmentation of images based on fractional calculus and natural selection
Image segmentation has been widely used in document image analysis for extraction of
printed characters, map processing in order to find lines, legends, and characters …
printed characters, map processing in order to find lines, legends, and characters …
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 multilevel thresholding algorithm using electromagnetism optimization
Segmentation is one of the most important tasks in image processing. It consists of
classifying the pixels into two or more groups depending on their intensity levels and a …
classifying the pixels into two or more groups depending on their intensity levels and a …
A comparative study of various meta-heuristic techniques applied to the multilevel thresholding problem
K Hammouche, M Diaf, P Siarry - Engineering Applications of Artificial …, 2010 - Elsevier
The multilevel thresholding problem is often treated as a problem of optimization of an
objective function. This paper presents both adaptation and comparison of six meta-heuristic …
objective function. This paper presents both adaptation and comparison of six meta-heuristic …
A multilevel automatic thresholding method based on a genetic algorithm for a fast image segmentation
K Hammouche, M Diaf, P Siarry - Computer Vision and Image …, 2008 - Elsevier
In this paper, a multilevel thresholding method which allows the determination of the
appropriate number of thresholds as well as the adequate threshold values is proposed …
appropriate number of thresholds as well as the adequate threshold values is proposed …
SAR image segmentation based on artificial bee colony algorithm
M Ma, J Liang, M Guo, Y Fan, Y Yin - Applied Soft Computing, 2011 - Elsevier
Due to the presence of speckle noise, segmentation of Synthetic Aperture Radar (SAR)
images is still a challenging problem. This paper proposes a fast SAR image segmentation …
images is still a challenging problem. This paper proposes a fast SAR image segmentation …
Multilevel thresholding segmentation based on harmony search optimization
In this paper, a multilevel thresholding (MT) algorithm based on the harmony search
algorithm (HSA) is introduced. HSA is an evolutionary method which is inspired in musicians …
algorithm (HSA) is introduced. HSA is an evolutionary method which is inspired in musicians …
[HTML][HTML] Multilevel thresholding for image segmentation using Krill Herd Optimization algorithm
KPB Resma, MS Nair - Journal of king saud university-computer and …, 2021 - Elsevier
In this paper a novel multilevel thresholding algorithm using a meta-heuristic Krill Herd
Optimization (KHO) algorithm has been proposed for solving the image segmentation …
Optimization (KHO) algorithm has been proposed for solving the image segmentation …