Handbook of Research on Deep Learning-Based Image Analysis Under Constrained and Unconstrained Environments - Alex Noel Joseph Raj - Boeken - Engineering Science Reference - 9781799866909 - 25 december 2020
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Handbook of Research on Deep Learning-Based Image Analysis Under Constrained and Unconstrained Environments

Alex Noel Joseph Raj

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

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.

Media Boeken     Hardcover Book   (Boek met harde rug en kaft)
Vrijgegeven 25 december 2020
ISBN13 9781799866909
Uitgevers Engineering Science Reference
Pagina's 408
Afmetingen 216 × 279 × 24 mm   ·   1,23 kg
Taal en grammatica Engels