Metaheuristic algorithms for PID controller parameters tuning: Review, approaches and open problems
The simplicity, transparency, reliability, high efficiency and robust nature of PID controllers
are some of the reasons for their high popularity and acceptance for control in process …
are some of the reasons for their high popularity and acceptance for control in process …
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 …
Modified firefly algorithm based multilevel thresholding for color image segmentation
L He, S Huang - Neurocomputing, 2017 - Elsevier
In this paper, a modified firefly algorithm (MFA) is proposed to find the optimal multilevel
threshold values for color image. Kapur's entropy, minimum cross entropy and between …
threshold values for color image. Kapur's entropy, minimum cross entropy and between …
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 …
An efficient multilevel color image thresholding based on modified whale optimization algorithm
Color image segmentation is a vital preprocessing stage in various image processing
applications. In threshold-based segmentation, the success of the image segmentation …
applications. In threshold-based segmentation, the success of the image segmentation …
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 …
An adaptive differential evolution algorithm to optimal multi-level thresholding for MRI brain image segmentation
O Tarkhaneh, H Shen - Expert Systems with Applications, 2019 - Elsevier
Segmentation is an important method for MRI medical image analysis as it can provide the
radiologists with noninvasive information about a patient that is crucial to the diagnostic …
radiologists with noninvasive information about a patient that is crucial to the diagnostic …
Improved bat algorithm applied to multilevel image thresholding
A Alihodzic, M Tuba - The Scientific World Journal, 2014 - Wiley Online Library
Multilevel image thresholding is a very important image processing technique that is used as
a basis for image segmentation and further higher level processing. However, the required …
a basis for image segmentation and further higher level processing. However, the required …
Nature-inspired optimization algorithms and their application in multi-thresholding image segmentation
In the field of image processing, there are several problems where an efficient search of the
solutions has to be performed within a complex search domain to find an optimal solution …
solutions has to be performed within a complex search domain to find an optimal solution …
An efficient krill herd algorithm for color image multilevel thresholding segmentation problem
L He, S Huang - Applied Soft Computing, 2020 - Elsevier
The conventional thresholding methods are very efficient for bi-level thresholding, but the
computational complexity may be excessively high for color image multilevel thresholding …
computational complexity may be excessively high for color image multilevel thresholding …