Automatic thresholding is an important technique in the image segmentation process. The
basic idea of automatic thresholding is to select an optimal gray-level threshold value …

In computer vision, image segmentation is the process of partitioning a digital image into
multiple sections. The goal of segmentation is to simplify and/or change the representation …

Multi-level image segmentation is a critical task in image processing that involves multiple
threshold values. As the high computational cost of an exhaustive search is inefficient and …

In this paper is presented an automatic segmentation approach for gray level images based
on usage of metaheuristic swarming algorithms for multiple thresholds computing. The multi …

In the paper a novel improved genetic algorithm is proposed based on the maximum entropy
for thresholding image segmentation. First of all, the encoded mode is made and the …

Segmentation of image is a key step in image analysis and pre-processing. It consists of
separating the pixels into different segments based on their intensity level according to …

With the growth of image processing applications, image segmentation has become an
important part of image processing. The simplest method to segment an image is …

Thresholding is one of the old, simple, and popular techniques for image segmentation, and
has been widely studied. In this paper, an approach for image thresholding based on …

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 very important and pre-processing step in image analysis. The
conventional multilevel thresholding methods are efficient for bi-level thresholding because …