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 thresholding is a very important phase in the image analysis process. However,
different images have different characteristics making the traditional process of thresholding …

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 …

Thresholding method is one of the most popular approaches for image segmentation where
an objective function is defined in terms of threshold numbers and their locations in a …

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 …

Image segmentation is widely used as a fundamental step for various image processing
applications. This paper focuses on improving the famous image thresholding method …

Color image multilevel thresholding segmentation based on metaheuristic optimization
algorithm and histogram has been widely used in many fields, but histogram neglects the …

Existing transition region-based image thresholding is unsuitable for images with
overlapping gray levels between object and background due to the essence of global …

Image segmentation is often used to distinguish the foreground from the background. Image
segmentation is one of the difficult research problems in the machine vision industry and …