Image segmentation is imperative for image processing applications. Thresholding
technique is the easiest way of partitioning an image into different regions. Mostly, entropy …

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

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

Image segmentation has an important role in image processing and computer vision and it is
widely used in numerous applications, including feature extraction, pattern recognition …

Image segmentation is a process of portion image into regions. From image segmentation
schemes available, multilevel thresholding on the histogram is a highly established method …

Thresholding is one of the popular and fundamental techniques for conducting image
segmentation. Many thresholding techniques have been proposed in the literature. Among …

Image segmentation is one of the most critical tasks in image analysis. Thresholding is
definitely one of the most popular segmentation approaches. Among thresholding methods …

Multilevel thresholding has important research value in image segmentation and can
effectively solve region analysis problems of complex images. In this paper, Otsu and …

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 …

Multilevel Thresholding (MLT) is a prominent image segmentation research field that can
effectively handle problems encountered while collecting meaningful information from a …