… multilevel thresholding based on metaheuristic algorithms is introduced. Nine algorithms and
their studies in multilevel thresholding … cuckoo search, bat algorithm, artificial bee colony, …

… is usually very time-consuming for obtaining the optimal multilevel thresholds. Though the
state-of-the-art multilevel thresholding algorithms applied various meta-heuristic techniques or …

… If we consider a gray-scale input image I as a set of pixels A, multilevel thresholding can
be defined as a method of dividing the set A into n + 1 disjoint subsets (A 0 , A 1 , …, A n ) by …

… In this section, the definition of multilevel thresholding problem is illustrated which is defined
… The essential purpose of multilevel thresholding is to locate the threshold values which split …

… In this work, we develop a two-dimensional multilevel thresholding technique based on
Rényi and Tsallis entropies. The formulation of the proposed method gives rise to an NP-hard …

… Proposed algorithm - hjDE For the multilevel thresholding problem we propose a novel
hybrid differential evolution algorithm (hjDE). We have introduced a reset strategy adopted from …

… In this study, a novel thresholding algorithm without any objective function has been
proposed. Histogram curve was considered as an objective function. The peaks and valley in …

… , a fast and efficient method for segmenting color satellite or remote sensing images is proposed.
Multilevel thresholding … on multilevel thresholding of color images. In gray level images, …

… In this paper, a multilevel thresholding color image segmentation method is … ) algorithm.
In this work, in order to improve the local search ability of ABC algorithm, Krill Herd algorithm is …

… Multilevel thresholding is a method that easily performs this task, the problem is to find the …
To overcome such problem this paper introduces the use of the novel meta-heuristic algorithm …