… The multi-level thresholding becomes very computationally challenges. In this paper, a
novel multilevel thresholding method based on particle swarm optimization (PSO) algorithm is …

… hybrid swarm algorithm for image segmentation that employs multilevel thresholding
techniques. For the hybridization, we have combined the whale optimization algorithm (WOA) and …

… algorithm. While some well-known methods, such as Kapur’s and Otsu’s, are proven effective
for bi-level thresholding, multi-level thresholding … We consider fixed multilevel thresholds in …

… performance using multilevel thresholding with HSA and IHSA. This paper introduces a
new method of hybrid multilevel thresholding and improved harmony search algorithm (MT-IHSA)…

… Multilevel thresholding is one of the most important areas in the field of image segmentation.
However, the computational complexity of multilevel thresholding … of multilevel thresholding …

… In this paper, we have revisited an exact, scalable and polynomial time algorithm for multilevel
thresholding based on Otsu’s approach. First, an equivalent modified formulation of Otsu’…

… To achieve an accurate and fast segmentation of satellite images, BFHS based robust
technique with two most popular objective functions of multilevel thresholding are utilized in this …

… We applied multilevel thresholding to the aforementioned methods to determine their
respective effects. Since exhaustive searches explore all possible candidates and determine the …

… The remainder of this paper is organized as follows: Section 3 discusses the proposed
Multilevel threshold selection using Firefly algorithm. Experimental results and performance …

… The image segmentation based on Multilevel thresholding has attracted more attention in …
is proposed the use of evolutionary computation algorithms combined with the Type II Fuzzy …