Multi-level thresholding image segmentation based on nature-inspired optimization algorithms: a comprehensive review
Image segmentation is an essential step involved in most computer vision systems used in
several areas such as engineering, communications, transportation, business, and social …
several areas such as engineering, communications, transportation, business, and social …
A multilevel image thresholding segmentation algorithm based on two-dimensional K–L divergence and modified particle swarm optimization
X Zhao, M Turk, W Li, K Lien, G Wang - Applied soft computing, 2016 - Elsevier
Multilevel image segmentation is a technique that divides images into multiple
homogeneous regions. In order to improve the effectiveness and efficiency of multilevel …
homogeneous regions. In order to improve the effectiveness and efficiency of multilevel …
Multilevel thresholding of images with improved Otsu thresholding by black widow optimization algorithm
ATH Al-Rahlawee, J Rahebi - Multimedia Tools and Applications, 2021 - Springer
One of the most important methods of image processing is image thresholding, which is
based on image histogram analysis. These methods analyze the image histogram diagram …
based on image histogram analysis. These methods analyze the image histogram diagram …
Multilevel image thresholding using relative entropy and virus optimization algorithm
YC Liang - 2012 IEEE congress on evolutionary computation, 2012 - ieeexplore.ieee.org
One of the most popular techniques for image segmentation is known as multilevel
thresholding. The main difference between multilevel and binary thresholding, is that the …
thresholding. The main difference between multilevel and binary thresholding, is that the …
An efficient iterative algorithm for image thresholding
Thresholding is a commonly used technique for image segmentation. This paper presents
an efficient iterative algorithm for finding optimal thresholds that minimize a weighted sum-of …
an efficient iterative algorithm for finding optimal thresholds that minimize a weighted sum-of …
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 …
Reducing overlapped pixels: a multi-objective color thresholding approach
This paper proposes a general multi-objective thresholding segmentation methodology for
color images and a quality metric designed to prevent and quantify the overlapping effect of …
color images and a quality metric designed to prevent and quantify the overlapping effect of …
Multilevel thresholding using grey wolf optimizer for image segmentation
AKM Khairuzzaman, S Chaudhury - Expert Systems with Applications, 2017 - Elsevier
Multilevel thresholding is one of the most important areas in the field of image segmentation.
However, the computational complexity of multilevel thresholding increases exponentially …
However, the computational complexity of multilevel thresholding increases exponentially …
Automatic thresholding using a modified valley emphasis
Otsu's method is one of the most well‐known methods for automatic thresholding, which
serves as an important algorithm category for image segmentation. However, it fails if the …
serves as an important algorithm category for image segmentation. However, it fails if the …
Variational mode decomposition-based multilevel threshold selection scheme for color image segmentation
Image segmentation is a method of subdividing an image into numerous meaningful regions
or objects, which makes the image more informative and easy to analyze. Thresholding …
or objects, which makes the image more informative and easy to analyze. Thresholding …