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

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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...