Handbook of Research on Deep Learning-Based Image Analysis Under Constrained and Unconstrained Environments

Language: English

Published by Engineering Science Reference, 2020

1799866904 / 9781799866909

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Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH

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nach der Bestellung gedruckt Neuware - Printed after ordering - Recent advancements in imaging techniques and image analysis has broadened the horizons for their applications in various domains. Image analysis has become an influential technique in medical image analysis, optical character recognition, geology, remote sensing, and more. However, analysis of images under constrained and unconstrained environments require efficient representation of the data and complex models for accurate interpretation and classification of data. Deep learning methods, with their hierarchical/multilayered architecture, allow the systems to learn complex mathematical models to provide improved performance in the required task. The Handbook of Research on Deep Learning-Based Image Analysis Under Constrained and Unconstrained Environments provides a critical examination of the latest advancements, developments, methods, systems, futuristic approaches, and algorithms for image analysis and addresses its challenges. Highlighting concepts, methods, and tools including convolutional neural networks, edge enhancement, image segmentation, machine learning, and image processing, the book is an essential and comprehensive reference work for engineers, academicians, researchers, and students.

Seller Inventory # 9781799866909

Title
Handbook of Research on Deep Learning-Based Image Analysis Under Constrained and Unconstrained Environments
Author
Alex Noel Joseph Raj
Publisher
Engineering Science Reference
Publication year
2020
Condition
Neu
Binding
Buch
Language
English
ISBN 10
1799866904
ISBN 13
9781799866909
Item weight
1,282 grams
Dimensions
286x221x26 mm

AHA-BUCH GmbH

Einbeck, Germany

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