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. The book highlight concepts, methods, and tools, including convolutional neural networks, edge enhancement, machine learning, and image processing.