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Metaheuristic Algorithms for Image Segmentation: Theory and Applications

Af: Mohamed Abd Elaziz, Diego Oliva, Salvador Hinojosa Engelsk Paperback

Metaheuristic Algorithms for Image Segmentation: Theory and Applications

Af: Mohamed Abd Elaziz, Diego Oliva, Salvador Hinojosa Engelsk Paperback
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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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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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Se mere i:
Produktdetaljer
Sprog: Engelsk
Sider: 226
ISBN-13: 9783030129330
Indbinding: Paperback
Udgave:
ISBN-10: 3030129330
Kategori: Billedbehandling: systemer og teknologi
Udg. Dato: 14 aug 2020
Længde: 0mm
Bredde: 155mm
Højde: 235mm
Forlag: Springer Nature Switzerland AG
Oplagsdato: 14 aug 2020
Forfatter(e): Mohamed Abd Elaziz, Diego Oliva, Salvador Hinojosa
Forfatter(e) Mohamed Abd Elaziz, Diego Oliva, Salvador Hinojosa

Kategori Billedbehandling: systemer og teknologi

ISBN-13 9783030129330

Sprog Engelsk

Indbinding Paperback

Sider 226

Udgave

Længde 0mm

Bredde 155mm

Højde 235mm

Udg. Dato 14 aug 2020

Oplagsdato 14 aug 2020

Forlag Springer Nature Switzerland AG