Description

Cognitive Systems and Signal Processing in Image Processing presents different frameworks and applications of cognitive signal processing methods in image processing. This book provides an overview of recent applications in image processing by cognitive signal processing methods in the context of Big Data and Cognitive AI. It presents the amalgamation of cognitive systems and signal processing in the context of image processing approaches in solving various real-word application domains. This book reports the latest progress in cognitive big data and sustainable computing. Various real-time case studies and implemented works are discussed for better understanding and more clarity to readers. The combined model of cognitive data intelligence with learning methods can be used to analyze emerging patterns, spot business opportunities, and take care of critical process-centric issues for computer vision in real-time.

Cognitive Systems and Signal Processing in Image Processing

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£89.96

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Paperback / softback by Yu-Dong Zhang , Arun Kumar Sangaiah

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Cognitive Systems and Signal Processing in Image Processing presents different frameworks and applications of cognitive signal processing methods in image... Read more

    Publisher: Elsevier Science Publishing Co Inc
    Publication Date: 06/12/2021
    ISBN13: 9780128244104, 978-0128244104
    ISBN10: 0128244100

    Number of Pages: 398

    Non Fiction , Computing

    Description

    Cognitive Systems and Signal Processing in Image Processing presents different frameworks and applications of cognitive signal processing methods in image processing. This book provides an overview of recent applications in image processing by cognitive signal processing methods in the context of Big Data and Cognitive AI. It presents the amalgamation of cognitive systems and signal processing in the context of image processing approaches in solving various real-word application domains. This book reports the latest progress in cognitive big data and sustainable computing. Various real-time case studies and implemented works are discussed for better understanding and more clarity to readers. The combined model of cognitive data intelligence with learning methods can be used to analyze emerging patterns, spot business opportunities, and take care of critical process-centric issues for computer vision in real-time.

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