Image entropy thresholding is one of the most widely used technique for multilevel
thresholding. The endeavor of this paper is to focus on obtaining the optimal threshold …

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 …

The minimum cross-entropy (MCIT) is introduced as a multi-level image thresholding
approach, but it suffers from time complexity, in particular, when the number of thresholds is …

Multilevel thresholding is one of the most important areas in the field of image segmentation.
However, the computational complexity of multilevel thresholding increases exponentially …

This paper presents an enhanced Harris Hawks Optimizer (HHO) to tackle global
optimization and determine the optimal threshold values for multi-level image segmentation …

Earlier 1D histogram-based entropic methods for multilevel image thresholding suffer from
the lack of contextual information. Subsequently, the idea was extended for 2D histogram …

Various techniques have previously been proposed for single-stage thresholding of images
to separate objects from the background. Although these global or local thresholding …

In this paper we show that the non-extensive Tsallis entropy, when used as kernel in the bio-
inspired firefly algorithm for multi-thresholding in image segmentation, is more efficient than …

Image segmentation is an indispensable part of computer vision applications, and image
thresholding is a popular one due to its simplicity and robustness. Generalised Masi entropy …

This paper proposes a novel method of Particle Swarm Optimization, called Golden Ratio
Particle Swarm Optimization (GRPSO), based on Golden Ratio found in nature. GRPSO is …