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

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 …

Multi-level image thresholding segmentation divides an image into multiple non-overlapping
regions. This paper presents a novel two-dimensional (2D) histogram-based segmentation …

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

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 …

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 …

A new multilevel thresholding based image segmentation technique is developed which
utilizes Masi entropy as an objective function. Thresholding is an important image …

Multilevel thresholding is a very important image processing technique in the field of image
segmentation. However, the computational complexity of determining the optimal threshold …

Multilevel thresholding is one of the principal methods of image segmentation. These
methods enjoy image histogram for segmentation. The quality of segmentation depends on …