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

Released on by Raj, Alex Noel Joseph
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  • Handbook of Research on Deep Learning-Based Image Analysis Under Constrained and Unconstrained Environments Book Detail

  • Author : Raj, Alex Noel Joseph
  • Release Date : 2020-12-25
  • Publisher : IGI Global
  • Genre : Computers
  • Pages : 381
  • ISBN 13 : 1799866920
  • File Size : 29,29 MB
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Handbook of Research on Deep Learning-Based Image Analysis Under Constrained and Unconstrained Environments by Raj, Alex Noel Joseph PDF Summary

Book Description: 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.

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Deep learning can provide more accurate results compared to machine learning. It uses layered algorithmic architecture to analyze data. It produces more accurat