Optimization is used in different fields of engineering to solve complex problems. In image
processing, multilevel thresholding requires to find the optimal configuration of thresholds to …

Image Thresholding is one simplest method of image segmentation, which partitions the
image into several objects on the basis of one or more threshold values. Threshold values …

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

Determination of optimum thresholds is the prime concern of any multilevel image
thresholding technique. The traditional methods for multilevel thresholding are …

Multi-level image thresholding is a common approach to image segmentation where an
image is divided into several regions based on its histogram. Otsu's method is the most …

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

Image segmentation is an important problem for image processing. The image processing
applications are generally affectedfromthe segmentation success. There is noany image …

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 …

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

In this chapter, an alternative image segmentation method is proposed to find the multi-level
thresholding values. The proposed method is based on the tree seed algorithm (TSA) which …