Multilevel image thresholding selection based on the firefly algorithm
MH Horng, TW Jiang - 2010 7th International Conference on …, 2010 - ieeexplore.ieee.org
The multilevel thresholding is an important technique for image processing and pattern
recognition. The maximum entropy thresholding has been widely applied in the literature. In …
recognition. The maximum entropy thresholding has been widely applied in the literature. In …
A multilevel image thresholding approach based on crow search algorithm and Otsu method
F Shahabi, F Poorahangaryan… - International Journal …, 2020 - World Scientific
Image segmentation is one of the fundamental problems in the image processing, which
identifies the objects and other structures in the image. One of the widely used methods for …
identifies the objects and other structures in the image. One of the widely used methods for …
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 …
Honey Badger Algorithm and Chef-based Optimization Algorithm for Multilevel Thresholding Image Segmentation
Image segmentation has an important role in image processing and computer vision and it is
widely used in numerous applications, including feature extraction, pattern recognition …
widely used in numerous applications, including feature extraction, pattern recognition …
Multi-level image thresholding using modified flower pollination algorithm
L Shen, C Fan, X Huang - Ieee Access, 2018 - ieeexplore.ieee.org
Multilevel thresholding is an important approach for image segmentation which has drawn
much attention during the past few years. Traditional methods for multilevel thresholding are …
much attention during the past few years. Traditional methods for multilevel thresholding are …
A quick artificial bee colony algorithm for image thresholding
The computational complexity grows exponentially for multi-level thresholding (MT) with the
increase of the number of thresholds. Taking Kapur's entropy as the optimized objective …
increase of the number of thresholds. Taking Kapur's entropy as the optimized objective …
Multi-level image thresholding based on hybrid differential evolution algorithm. application on medical images
Image thresholding is definitely one of the most popular segmentation approaches for
extracting objects from the background, or for discriminating objects from objects that have …
extracting objects from the background, or for discriminating objects from objects that have …
A new heuristic for multilevel thresholding of images
Multilevel thresholding of images helps in separating the interesting objects from their
background. The quality of separation depends much on the selected threshold values. This …
background. The quality of separation depends much on the selected threshold values. This …
An efficient multi level thresholding method for image segmentation based on the hybridization of modified PSO and Otsu's method
F Hamdaoui, A Sakly, A Mtibaa - Computational intelligence applications …, 2015 - Springer
In the area of image processing, segmentation of an image into multiple regions is very
important for classification and recognition steps. It has been widely used in many …
important for classification and recognition steps. It has been widely used in many …
A novel method for multi-level image thresholding using particle swarm Optimization algorithms
The selection of threshold is one the general methods in image segmentation, but often the
selection of the optimal value for threshold is a challenge for researchers. In this paper we …
selection of the optimal value for threshold is a challenge for researchers. In this paper we …