Pixel intensity clustering algorithm for multilevel image segmentation
OO Olugbara, E Adetiba… - Mathematical Problems in …, 2015 - Wiley Online Library
Image segmentation is an important problem that has received significant attention in the
literature. Over the last few decades, a lot of algorithms were developed to solve image …
literature. Over the last few decades, a lot of algorithms were developed to solve image …
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 method for image segmentation based on an adaptive particle swarm optimization algorithm
C Guo, H Li - Australasian joint conference on artificial intelligence, 2007 - Springer
The multilevel thresholding method with maximum entropy is one of the most important
image segmentation methods in image processing. However, its time-consuming …
image segmentation methods in image processing. However, its time-consuming …
Meta-heuristic moth swarm algorithm for multilevel thresholding image segmentation
Y Zhou, X Yang, Y Ling, J Zhang - Multimedia Tools and Applications, 2018 - Springer
Multilevel thresholding is a very important image processing technique in the field of image
segmentation. However, the computational complexity of determining the optimal threshold …
segmentation. However, the computational complexity of determining the optimal threshold …
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 …
[PDF][PDF] A fully adaptive and hybrid method for image segmentation using multilevel thresholding
High level tasks in image analysis and understanding are based on accurate image
segmentation which can be accomplished through multilevel thresholding. In this paper, we …
segmentation which can be accomplished through multilevel thresholding. In this paper, we …
A Comprehensive Survey of Multi-Level Thresholding Segmentation Methods for Image Processing
M Amiriebrahimabadi, Z Rouhi, N Mansouri - Archives of Computational …, 2024 - Springer
In image processing, multi-level thresholding is a sophisticated technique used to delineate
regions of interest in images by identifying intensity levels that differentiate different …
regions of interest in images by identifying intensity levels that differentiate different …
A discriminant analysis based recursive automatic thresholding approach for image segmentation
In this study, we have proposed an efficient automatic multilevel thresholding method for
image segmentation. An effective criterion for measuring the separability of the homogenous …
image segmentation. An effective criterion for measuring the separability of the homogenous …
Hyper-heuristic method for multilevel thresholding image segmentation
M Abd Elaziz, AA Ewees, D Oliva - Expert Systems with Applications, 2020 - Elsevier
In digital image processing, one of the most relevant tasks is to classify pixels depending on
their intensity level. To perform this process there exist different traditional methods as Otsu …
their intensity level. To perform this process there exist different traditional methods as Otsu …
Swarm selection method for multilevel thresholding image segmentation
Multilevel thresholding is one of the most popular approaches used for image segmentation.
Several methods have been used to find the threshold values; however, metaheuristic (MH) …
Several methods have been used to find the threshold values; however, metaheuristic (MH) …