A Beginner's Guide to Image Multi-Level Thresholding emphasizes various image
thresholding methods that are necessary for image pre-processing and initial level …

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 …

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 …

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 …

Image thresholding is a challenging task in image processing field. Many efforts have
already been made to propose universal, robust methods to handle a wide range of images …

The drawback of the conventional multilevel thresholding methods is high computational
cost since they do exhaustive search among exponentialy growing number of possible …

Many previous methods for image thresholding focused on developing automatic algorithms
to determine thresholds. However, most of the methods suffer from time-consuming …

Thresholding method is one of the most popular approaches for image segmentation where
an objective function is defined in terms of threshold numbers and their locations in a …

Traditional image thresholding methods are found to be effective for bi-level thresholding,
but computationally expensive for multi-level thresholding. Most of these methods do not …