A multi-level thresholding method for image segmentation is presented. The image is
divided into multiple regions based on the grayscale level. The procedure for finding best …

Thresholding is a popular image segmentation method that converts gray-level image into
binary image. The selection of optimum thresholds has remained a challenge over decades …

At present, the research about fast algorithm for multi-threshold image segmentation is
mostly focused on bionic algorithm. Many of bionic algorithms, such as particle swarm …

Abstract Background/Objectives: In this paper, Firefly Algorithm (FA) based multilevel
thresholding is proposed to segment the gray scale image by maximizing the entropy value …

A new dynamic Multilevel Thresholding method (DMTBPSO), based on Binary Particle
Swarm Optimization and Otsu's method, is proposed. This approach can automatically …

Multilevel thresholding is a popular image segmentation technique. However, computational
complexity of multilevel thresholding increases very rapidly with increasing number of …

Thresholding is a popular image segmentation method that converts gray-level image into
binary image. The problem of thresholding has been quite extensively studied for many …

Image thresholding considered as a popular method for image segmentation. So far, many
approaches have been proposed for image thresholding. Maximum entropy thresholding …

The multilevel threshold technique of image segmentation is a popular and intriguing
domain in the field of image vision and has received a lot of attention in several image …

To make the image more meaningful and easy to analyze, it is necessary to change its
representation and simplify the image through the segmentation. Segmentation separates …