Intelligent Systems and Applications in Computer Vision

The book comprehensively covers a wide range of evolutionary computer vision methods and applications, feature selection and extraction for training and classification, and metaheuristic algorithms in image processing. It further discusses optimized image segmentation, its analysis, pattern recognition, and object detection.

Features:

• Discusses machine learning-based analytics such as GAN networks, autoencoders, computational imaging, and quantum computing
• Covers deep learning algorithms i...