One of the most important methods of image processing is image thresholding, which is
based on image histogram analysis. These methods analyze the image histogram diagram …

Image thresholding is an important technique for image processing and pattern recognition.
Many thresholding techniques have been proposed in the literature. Among them, the …

Amongst all the multilevel thresholding techniques, standard histogram based thresholding
approaches are very impressive for bi-level thresholding. But, it is not effective to select …

In this paper, a hybrid approach, which is based on Gaussian smoothing and a genetic
algorithm (GA), is proposed for automatic multilevel image thresholding. Using a mixture …

Multilevel thresholding is an important technique for image processing and pattern
recognition. The maximum entropy thresholding (MET) has been widely applied in the …

We introduce an alternative hybrid swarm algorithm for image segmentation that employs
multilevel thresholding techniques. For the hybridization, we have combined the whale …

In this paper a novel multilevel thresholding algorithm using a meta-heuristic Krill Herd
Optimization (KHO) algorithm has been proposed for solving the image segmentation …

The image segmentation based on Multilevel thresholding has attracted more attention in
recent years, they have been used in different applications. Therefore, several evolutionary …

Since the conventional multilevel thresholding approaches exhaustively search the optimal
thresholds to optimize objective functions, they are computational expensive. In this paper …

Multilevel thresholding is a method that is widely used in image segmentation. The
thresholding problem is treated as an optimization problem with an objective function. In this …