Image segmentation using multilevel thresholding: a research review
Image segmentation is a basic problem in computer vision and various image processing
applications. Over the years, commonly used image segmentation has become quite …
applications. Over the years, commonly used image segmentation has become quite …
Multilevel thresholding image segmentation using meta-heuristic optimization algorithms: Comparative analysis, open challenges and new trends
This paper studied the multilevel threshold image segmentation-based metaheuristics
optimization methods and their applications. Image segmentation is a common problem in …
optimization methods and their applications. Image segmentation is a common problem in …
HSMA_WOA: A hybrid novel Slime mould algorithm with whale optimization algorithm for tackling the image segmentation problem of chest X-ray images
M Abdel-Basset, V Chang, R Mohamed - Applied soft computing, 2020 - Elsevier
Recently, a novel virus called COVID-19 has pervasive worldwide, starting from China and
moving to all the world to eliminate a lot of persons. Many attempts have been experimented …
moving to all the world to eliminate a lot of persons. Many attempts have been experimented …
A hybrid COVID-19 detection model using an improved marine predators algorithm and a ranking-based diversity reduction strategy
M Abdel-Basset, R Mohamed, M Elhoseny… - IEEE …, 2020 - ieeexplore.ieee.org
Many countries are challenged by the medical resources required for COVID-19 detection
which necessitates the development of a low-cost, rapid tool to detect and diagnose the …
which necessitates the development of a low-cost, rapid tool to detect and diagnose the …
Modified artificial bee colony based computationally efficient multilevel thresholding for satellite image segmentation using Kapur's, Otsu and Tsallis functions
In this paper, a modified artificial bee colony (MABC) algorithm based satellite image
segmentation using different objective function has been presented to find the optimal …
segmentation using different objective function has been presented to find the optimal …
Kapur's entropy based optimal multilevel image segmentation using crow search algorithm
P Upadhyay, JK Chhabra - Applied soft computing, 2020 - Elsevier
Image segmentation is an essential part of image analysis, which has a direct impact on the
quality of image analysis results. Thresholding is one of the simplest and widely used …
quality of image analysis results. Thresholding is one of the simplest and widely used …
Tsallis entropy based multilevel thresholding for colored satellite image segmentation using evolutionary algorithms
In this paper, a new technique for color image segmentation using CS algorithm supported
by Tsallis entropy for multilevel thresholding has been proposed toward the effective colored …
by Tsallis entropy for multilevel thresholding has been proposed toward the effective colored …
A novel hybrid algorithm based on biogeography-based optimization and grey wolf optimizer
X Zhang, Q Kang, J Cheng, X Wang - Applied Soft Computing, 2018 - Elsevier
In order to obtain a Biogeography-Based Optimization (BBO) algorithm with strong universal
applicability, this paper presents a novel hybrid algorithm based on BBO and Grey Wolf …
applicability, this paper presents a novel hybrid algorithm based on BBO and Grey Wolf …
Multilevel segmentation of 2D and volumetric medical images using hybrid Coronavirus Optimization Algorithm
Medical image segmentation is a crucial step in Computer-Aided Diagnosis systems, where
accurate segmentation is vital for perfect disease diagnoses. This paper proposes a …
accurate segmentation is vital for perfect disease diagnoses. This paper proposes a …
An efficient cuckoo search algorithm based multilevel thresholding for segmentation of satellite images using different objective functions
Satellite image segmentation is challenging due to the presence of weakly correlated and
ambiguous multiple regions of interest. Several bio-inspired algorithms were developed to …
ambiguous multiple regions of interest. Several bio-inspired algorithms were developed to …