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 …
A systematic review on harmony search algorithm: theory, literature, and applications
Harmony search algorithm is the recently developed metaheuristic in the last decade. It
mimics the behavior of a musician producing a perfect harmony. It has been used to solve …
mimics the behavior of a musician producing a perfect harmony. It has been used to solve …
Whale optimization algorithm and moth-flame optimization for multilevel thresholding image segmentation
Determining the optimal thresholding for image segmentation has got more attention in
recent years since it has many applications. There are several methods used to find the …
recent years since it has many applications. There are several methods used to find the …
Harmony-search and otsu based system for coronavirus disease (COVID-19) detection using lung CT scan images
Pneumonia is one of the foremost lung diseases and untreated pneumonia will lead to
serious threats for all age groups. The proposed work aims to extract and evaluate the …
serious threats for all age groups. The proposed work aims to extract and evaluate the …
Cross entropy based thresholding for magnetic resonance brain images using Crow Search Algorithm
Segmentation is considered the central part of an image processing system due to its high
influence on the posterior image analysis. In recent years, the segmentation of magnetic …
influence on the posterior image analysis. In recent years, the segmentation of magnetic …
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 …
Opposition-based Laplacian equilibrium optimizer with application in image segmentation using multilevel thresholding
This paper proposes a modified version of freshly developed Equilibrium Optimizer (EO) for
segmentation of gray-scale images using multi-level thresholding. Laplace distribution …
segmentation of gray-scale images using multi-level thresholding. Laplace distribution …
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 …
Image segmentation review: Theoretical background and recent advances
Image segmentation is a significant topic in image refining and automated image analysis
with relevance for instance object recognition, diagnostic imaging scanning, mechanized …
with relevance for instance object recognition, diagnostic imaging scanning, mechanized …
Image segmentation using multilevel thresholding based on type II fuzzy entropy and marine predators algorithm
The digital image segmentation is an open problem that is growing day by day and is
attracting the attention of researchers from last few years. Image resolution and their speed …
attracting the attention of researchers from last few years. Image resolution and their speed …