Multilevel thresholding is the method applied to segment the given image into unique sub-
regions when the gray value distribution of the pixels is not distinct. The segmentation …

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 …

Image Segmentation is an open research area in which Multi-level thresholding is a topic of
current research. To automatically detect the threshold, histogram-based methods are …

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 …

Image processing is one of the major research regions in the most recent decades, in which,
image segmentation has gained more popularity due to its enormous applications. Before …

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 …

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

Multi-level thresholding is a helpful tool for several image segmentation applications.
Evaluating the optimal thresholds can be applied using a widely adopted extensive scheme …

Image segmentation is among most often used techniques for image analysis and one
standard way to do it is multilevel tresholding. The selection of optimum thresholds has …