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 …

Multilevel image thresholding and image clustering, two extensively used image processing
techniques, have sparked renewed interest in recent years due to their wide range of …

Multilevel thresholding is one of the most commonly used methods in image segmentation.
However, the exhaustive search methods are costly in determining optimal thresholds and …

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 …

This paper proposes an improved variant of Darwinian Particle Swarm Optimization
algorithm based on chaotic functions. Most of the evolutionary algorithms faces the problem …

Due to the computational complexity of multilevel image thresholding, Swarm Intelligence
Optimization Algorithm (SIOA) has been widely applied to improve the calculation efficiency …

Histogram based multilevel thresholding approach is proposed using Brownian distribution
(BD) guided firefly algorithm (FA). A bounded search technique is also presented to improve …

This paper proposes a multi-threshold image segmentation method based on improved
emperor penguin optimization (EPO). The calculation complexity of multi-thresholds …

This paper introduces the comparison of evolutionary and swarm-based optimization
algorithms for multilevel color image thresholding problem which is a process used for …

The digital image segmentation is an open problem that is growing day by day and is
attracting the attention of researchers from last few years. Image resolution and their speed …