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 …

This chapter proposes a new method for determining the multilevel thresholding values for
image segmentation. The proposed method considers the multilevel threshold as multi …

This paper studied the multilevel threshold image segmentation-based metaheuristics
optimization methods and their applications. Image segmentation is a common problem in …

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 …

One of the most important methods of image processing is image thresholding, which is
based on image histogram analysis. These methods analyze the image histogram diagram …

There are many techniques for conducting image analysis and pattern recognition. This
papers explores a way to optimize one of these techniques—image segmentation—with the …

Multilevel thresholding for segmentation is an essential task and indispensable process in
various applications. Conventional color multilevel thresholding based image …

Multilevel thresholding is one of the most important areas in the field of image segmentation.
However, the computational complexity of multilevel thresholding increases exponentially …

Determining the optimal thresholding for image segmentation has got more attention in
recent years since it has many applications. There are several methods used to find the …

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 …