Fast multilevel thresholding for image segmentation through a multiphase level set method
A Dirami, K Hammouche, M Diaf, P Siarry - Signal processing, 2013 - Elsevier
For the image segmentation by the histogram bilevel thresholding, several methods have
been proposed. However, they are computationally time consuming and their effectiveness …
been proposed. However, they are computationally time consuming and their effectiveness …
A multilevel automatic thresholding method based on a genetic algorithm for a fast image segmentation
K Hammouche, M Diaf, P Siarry - Computer Vision and Image …, 2008 - Elsevier
In this paper, a multilevel thresholding method which allows the determination of the
appropriate number of thresholds as well as the adequate threshold values is proposed …
appropriate number of thresholds as well as the adequate threshold values is proposed …
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 …
A novel context sensitive multilevel thresholding for image segmentation
Most of the traditional histogram-based thresholding techniques are effective for bi-level
thresholding and unable to consider spatial contextual information of the image for selecting …
thresholding and unable to consider spatial contextual information of the image for selecting …
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 …
Two-dimensional extension of variance-based thresholding for image segmentation
F Nie, Y Wang, M Pan, G Peng, P Zhang - Multidimensional systems and …, 2013 - Springer
Variance-based thresholding method is a very effective technology for image segmentation.
However, its performance is limited in traditional one-dimensional and two-dimensional …
However, its performance is limited in traditional one-dimensional and two-dimensional …
Multilevel threshold selection for image segmentation using soft computing techniques
Multilevel thresholding is the method applied to segment the given image into unique sub-
regions when the gray value distribution of the pixels is not distinct. The segmentation …
regions when the gray value distribution of the pixels is not distinct. The segmentation …
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 …
Optimal multi-thresholding using a hybrid optimization approach
E Zahara, SKS Fan, DM Tsai - Pattern recognition letters, 2005 - Elsevier
The Otsu's method has been proven as an efficient method in image segmentation for bi-
level thresholding. However, this method is computationally intensive when extended to …
level thresholding. However, this method is computationally intensive when extended to …
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 …