Intelligent Systems and Applications in Computer Vision

The book covers a wide range of topics in evolutionary computer vision, including feature selection, extraction, and optimization, as well as deep learning algorithms and machine learning-based analytics. It also discusses recent advancements in computational intelligence and smart applications of digital images. It is an ideal reference text for students and researchers in electrical engineering, electronics, communications engineering, and computer engineering.

Format: Hardback
Length: 326 pages
Publication date: 02 November 2023
Publisher: Taylor & Francis Ltd

The book is a comprehensive resource that delves into a wide array of evolutionary computer vision methods and applications, encompassing feature selection and extraction for training and classification, as well as metaheuristic algorithms in image processing. It further explores optimized image segmentation, its analysis, pattern recognition, and object detection.

In addition to discussing machine learning-based analytics such as Generative Adversarial Networks (GANs), autoencoders, computational imaging, and quantum computing, the book covers deep learning algorithms in computer vision. It showcases novel solutions such as multi-resolution analysis in imaging processing and metaheuristic algorithms for tackling challenges associated with image processing.

The book also highlights optimization problems such as image segmentation and minimized feature design vector, presenting platform and simulation tools for image processing and segmentation. Its primary objective is to familiarize readers with the fundamentals of computational intelligence and the recent advancements in related technologies, such as smart applications of digital images, and other enabling technologies from the context of image processing and computer vision.

Furthermore, the book encompasses important topics such as image watermarking, steganography, morphological processing, and optimized image segmentation. It serves as an ideal reference text for senior undergraduate, graduate students, and academic researchers in fields including electrical engineering, electronics, communications engineering, and computer engineering.

Weight: 790g
Dimension: 234 x 156 (mm)
ISBN-13: 9781032392950