Meta heuristics is an optimization approach that works as an intelligent technique to solve
optimization problems. Evolutionary algorithms, human-based algorithms, physics-based …

Multilevel Thresholding (MLT) is considered as a significant and imperative research field in
image segmentation that can efficiently resolve difficulties aroused while analyzing the …

Chimp optimization algorithm (ChOA) is a recently proposed metaheuristic. Interestingly, it
simulates the social status relationship and hunting behavior of chimps. Due to the more …

Color image segmentation is the primary step to elicit detailed information of the image with
RGB color space. The key to acquire the region of interest is the straightforward, instinctual …

Honey badger algorithm (HBA) is a recently developed meta-heuristic algorithm, which
mainly simulates the dynamic search behavior of honey badger in wild nature. Similar to …

Flood disasters have a huge effect on human life, the economy, and the ecosystem. Quickly
extracting the spatial extent of flooding is necessary for disaster analysis and rescue …

Recently, the entropic based multilevel threshold selection methods use 2D histogram,
which is constructed using the local averages, leading to a loss of edges. Further, the …

Segmentation of satellite images is the noteworthy and essential step for better
understanding and analysis in various applications such as disaster and crisis management …

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 …

Multilevel thresholding has important research value in image segmentation and can
effectively solve region analysis problems of complex images. In this paper, Otsu and …