Image segmentation is a basic problem in computer vision and various image processing
applications. Over the years, commonly used image segmentation has become quite …

Image segmentation is a significant topic in image refining and automated image analysis
with relevance for instance object recognition, diagnostic imaging scanning, mechanized …

Determining the optimal thresholding for image segmentation has got more attention in
recent years since it has many applications. There are several methods used to find the …

In this paper, a new technique for color image segmentation using CS algorithm supported
by Tsallis entropy for multilevel thresholding has been proposed toward the effective colored …

The goal of mobile ad hoc network (MANET) routing protocol is to establish a correct and
effective route with minimal control overhead and bandwidth consumption. Dynamic source …

In the field of image processing, there are several problems where an efficient search of the
solutions has to be performed within a complex search domain to find an optimal solution …

In this paper, we investigate the ability of two new nature-inspired metaheuristics namely the
flower pollination (FP) and the social spiders optimization (SSO) algorithms to solve the …

Multilevel thresholding for segmentation is an essential task and indispensable process in
various applications. Conventional color multilevel thresholding based image …

Amongst all the multilevel thresholding techniques, standard histogram based thresholding
approaches are very impressive for bi-level thresholding. But, it is not effective to select …

Among various thresholding methods, minimum cross entropy is implemented for its
effectiveness and simplicity. Although it is efficient and gives excellent result in case of bi …