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 …

Color image segmentation is a vital preprocessing stage in various image processing
applications. In threshold-based segmentation, the success of the image segmentation …

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 …

Multilevel thresholding has got more attention in the field of image segmentation recently.
However, it is still challenging and complicated for color image segmentation in many …

Traditional methods to address color image segmentation work efficiently for bi-level
thresholding. However, for multi-level thresholding, traditional methods suffer from time …

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

Pixel rating is considered one of the commonly used critical factors in digital image
processing that depends on intensity. It is used to determine the optimal 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 …