Metaheuristic Algorithms for Image Segmentation: Theory and Applications

Name: Metaheuristic Algorithms for Image Segmentation: Theory and Applications
Brand: Springer Nature Switzerland AG
SKU: 9783030129330
Price: 99.88 EUR
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Autor: Salvador Hinojosa, Diego Oliva

Jazyk:

Väzba: Brožovaná

Vydavateľ: Springer Nature Switzerland AG

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This book presents a study of the most important methods of image segmentation and how they are exte...

Informácie o knihe

Autor

Salvador Hinojosa, Diego Oliva

Jazyk

Angličtina

Väzba

Kniha - Brožovaná

Vydalo

2020

Stránok

226

EAN

9783030129330

ISBN

3030129330

Enbook ID

33087399

Vydavateľ

Springer Nature Switzerland AG

Hmotnosť

379

Rozmery

155 x 235 x 14

Kompletný popis

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. This didactic book is primarily intended for undergraduate and postgraduate students of science, engineering, and computational mathematics. It is also suitable for courses such as artificial intelligence, advanced image processing, and computational intelligence. The material is also useful for researches in the fields of evolutionary computation, artificial intelligence, and image processing.

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Metaheuristic Algorithms for Image Segmentation: Theory and Applications

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