Differential evolution (DE) is one of the highly acknowledged population-based optimization
algorithms due to its simplicity, user-friendliness, resilience, and capacity to solve problems …

According to the World Health Organization (WHO), Diabetes Mellitus (DM) is one of the
most prevalent diseases in the world. It is also associated with a high mortality index …

We propose a novel multi-level thresholding method for unsupervised separation between
objects and background from a natural color image using the concept of the minimum cross …

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 …

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

Segmentation is an essential preprocessing step in techniques for image analysis. The
automatic segmentation of brain magnetic resonance imaging has been exhaustively …

This paper introduces a new hybrid algorithm named Transient Search Naked Mole-Rat
Optimizer (TsNMRO), based on the hybridization of transient search optimizer (TSO) merged …

This paper proposes a hybrid approach with the integration of a pre-processing and a post-
processing technique to examine Magnetic Resonance Angiography (MRA) images. In pre …

This paper presents a multi-level image thresholding approach based on fuzzy partition of
the image histogram and entropy theory. Here a fuzzy entropy based approach is adopted in …

Multilevel thresholding using Otsu or Kapur methods is widely used in the context of image
segmentation. These methods select optimal thresholds in gray level images by maximizing …