In image processing, multi-level thresholding is a sophisticated technique used to delineate
regions of interest in images by identifying intensity levels that differentiate different …

Multilevel thresholding has been long considered as one of the most popular techniques for
image segmentation. Multilevel thresholding outputs a gray scale image in which more …

High level tasks in image analysis and understanding are based on accurate image
segmentation which can be accomplished through multilevel thresholding. In this paper, we …

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

In this study, we have proposed an efficient automatic multilevel thresholding method for
image segmentation. An effective criterion for measuring the separability of the homogenous …

In digital image processing, one of the most relevant tasks is to classify pixels depending on
their intensity level. To perform this process there exist different traditional methods as Otsu …

Segmentation is a crucial step in image processing applications. This process separates
pixels of the image into multiple classes that permits the analysis of the objects contained in …

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 …

Image thresholding is a very common image processing operation, since almost all image
processing schemes need some sort of separation of the pixels into different classes. In …

Multi-level thresholding of a gray image is one of the basic operations in computer vision,
with applications in image enhancement and segmentation. Various criteria for the selection …