Cognitive Systems and Signal Processing in Image Processing (e-bog) af -
Sangaiah, Arun Kumar (redaktør)

Cognitive Systems and Signal Processing in Image Processing e-bog

1094,57 DKK (inkl. moms 1368,21 DKK)
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 ...
E-bog 1094,57 DKK
Forfattere Sangaiah, Arun Kumar (redaktør)
Udgivet 28 november 2021
Længde 398 sider
Genrer Image processing
Sprog English
Format pdf
Beskyttelse LCP
ISBN 9780323860093
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. Presents cognitive signal processing methodologies that are related to challenging image processing application domains Provides the state-of-the-art in cognitive signal processing approaches in the area of big-data image processing Focuses on other technical aspects and alternatives to traditional tools, algorithms and methodologies Discusses various real-time case studies and implemented works