Metaheuristic Algorithms for Image Segmentation
Metaheuristic Algorithms for Image Segmentation:
Theory and Applications (Studies in Computational Intelligence)
by Diego Oliva
English | 2019 | ISBN: 3030129306 | 226 Pages | PDF | 7 MB
Theory and Applications (Studies in Computational Intelligence)
by Diego Oliva
English | 2019 | ISBN: 3030129306 | 226 Pages | PDF | 7 MB
This book presents a study of the most important methods of image segmentation and how they are extended and improved using metaheuristic algorithms. The segmentation approaches selected have been extensively applied to the task of segmentation (especially in thresholding), and have also been implemented using various metaheuristics and hybridization techniques leading to a broader understanding of how image segmentation problems can be solved from an optimization perspective. The field of image processing is constantly changing due to the extensive integration of cameras in devices; for example, smart phones and cars now have embedded cameras. The images have to be accurately analyzed, and crucial pre-processing steps, like image segmentation, and artificial intelligence, including metaheuristics, are applied in the automatic analysis of digital images. Metaheuristic algorithms have also been used in various fields of science and technology as the demand for new methods designed to solve complex optimization problems increases.