Segmentation is one of the important steps for image analysis. Multilevel thresholding image
segmentation was more popular in image segmentation. Otsu and Kapur based methods …

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 …

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 …

One of the critical tasks in image processing is image segmentation. Image thresholding is
the simplest technique of segmentation in two forms of bi‐level and multilevel. One …

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

Image segmentation is considered a crucial step required for image analysis and research.
Many techniques have been proposed to resolve the existing problems and improve the …

Multilevel thresholding of images helps in separating the interesting objects from their
background. The quality of separation depends much on the selected threshold values. This …

The multilevel thresholding method with maximum entropy is one of the most important
image segmentation methods in image processing. However, its time-consuming …

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

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 …