About the book
Image segmentation is a primary and fundamental step in digital image processing. In short, it is the identification and separation of an image into parts (segments) of interest to solve a particular problem.
There are several approaches, methods, and techniques for image segmentation, each with its characteristics, advantages, and disadvantages regarding the type of image and the expected result. They range from traditional and basic approaches to advanced and recently developed ones, from quasi-manual techniques and methods to fully automated ones.
This book seeks to present recent work in the area of digital image processing, with a focus on the segmentation step.
The hope is that this book will include three main topics: threshold-based segmentation, clustering-based segmentation, and artificial neural networks based segmentation. But it is not limited to these topics in any specific way. This is a purely organizational division, seeking to present papers that describe the segmentation process through traditional, intermediate, and advanced approaches.
