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 …

The multilevel thresholding is one important operation in computer vision, which is a subfield
of artificial intelligence (AI), used to understand and interpret the data in the real world. The …

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 is one of the most broadly used approaches to image segmentation.
However, the traditional techniques of multilevel thresholding are time-consuming …

Multilevel thresholding is an important approach for image segmentation which has drawn
much attention during the past few years. The Tsallis entropy method is implemented for its …

Image segmentation is one of the most important and fundamental tasks in image
processing and techniques based on image thresholding are typically simple and …

Image segmentation is a critical stage in the analysis and pre-processing of images. It
comprises dividing the pixels according to threshold values into several segments …

Multilevel thresholding algorithms are important techniques for image segmentation, among
them; the minimum cross entropy thresholding (MCET) has been widely applied. In this …

Multilevel thresholding (MLT) is one of the most widely used methods in image
segmentation. However, the exhaustive search method is computationally time consuming …

Thresholding is an important approach for image segmentation and it is the first step in the
image processing for many applications. Segmentation is a low level operation that can …