Abstract In Multilevel Thresholding Image Segmentation (MTIS) methods, it is crucial to find
the thresholds that gives the best performance for the image segmentation system. Meta …

Clustering is one of the prominent approaches for image segmentation. Conventional
algorithms such as k-means, while extensively used for image segmentation, suffer from …

The human mental search (HMS) algorithm is a relatively recent population-based
metaheuristic algorithm, which has shown competitive performance in solving complex …

Abstract The Levy flight and Chaos theory-based Gravitational Search Algorithm (LCGSA)
has been applied for the image segmentation task. In LCGSA, the exploration is carried out …

Traditional exhaustive search methods have high time complexity in solving multilevel
threshold problems. To address this problem, a Levy flight based firefly algorithm called LFA …

This paper proposes an alternative multilevel thresholding (MLT) image segmentation
method by improving the behavior of the grasshopper optimization algorithm (GOA). This is …

Maximum entropy thresholding on circular histogram is a color image thresholding method,
which makes full use of the color information of the hue H component in the image HSI color …

Multilevel thresholding is a basic method in image segmentation. The conventional image
multilevel thresholding algorithms are computationally expensive when the number of …

Image segmentation is a prime operation to understand the content of images. Multilevel
thresholding is applied in image segmentation because of its speed and accuracy. In this …

Thresholding images, a technique that uses histogram analysis, is an important aspect of the
study of image processing. These methods an image's histogram and recommend optimal …