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 …
[LIVRE][B] Swarm intelligence: principles, advances, and applications
AE Hassanien, E Emary - 2018 - taylorfrancis.com
Swarm Intelligence: Principles, Advances, and Applications delivers in-depth coverage of
bat, artificial fish swarm, firefly, cuckoo search, flower pollination, artificial bee colony, wolf …
bat, artificial fish swarm, firefly, cuckoo search, flower pollination, artificial bee colony, wolf …
Multilevel thresholding using grey wolf optimizer for image segmentation
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 …
Cuckoo search algorithm and wind driven optimization based study of satellite image segmentation for multilevel thresholding using Kapur's entropy
The objective of image segmentation is to extract meaningful objects. A meaningful
segmentation selects the proper threshold values to optimize a criterion using entropy. The …
segmentation selects the proper threshold values to optimize a criterion using entropy. The …
Artificial bee colony based algorithm for maximum power point tracking (MPPT) for PV systems operating under partial shaded conditions
Artificial bee colony (ABC) algorithm has several characteristics that make it more attractive
than other bio-inspired methods. Particularly, it is simple, it uses fewer control parameters …
than other bio-inspired methods. Particularly, it is simple, it uses fewer control parameters …
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 …
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 …
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 …
Application of bio-inspired algorithms in maximum power point tracking for PV systems under partial shading conditions–A review
Solar energy is one of the most promising renewable energy resource due to its variety of
advantages. The photovoltaic systems have a remarkable development over the past few …
advantages. The photovoltaic systems have a remarkable development over the past few …
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 …