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 in computer vision
• Showcases novel solutions such as multi-resolution analysis in imaging processing, and metaheuristic algorithms for tackling challenges associated with image processing
• Highlight optimization problems such as image segmentation and minimized feature design vector
• Presents platform and simulation tools for image processing and segmentation

The book aims to get the readers familiar with the fundamentals of