Computer Vision and Recognition Systems (PDF)
This cutting-edge volume focuses on how artificial intelligence can be used to give computers the ability to imitate human sight. With contributions from researchers in diverse countries, including Thailand, Spain, Japan, Turkey, Australia, and India,...
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This cutting-edge volume focuses on how artificial intelligence can be used to give computers the ability to imitate human sight. With contributions from researchers in diverse countries, including Thailand, Spain, Japan, Turkey, Australia, and India, the book explains the essential modules that are necessary for comprehending artificial intelligence experiences to provide machines with the power of vision. The volume also presents innovative research developments, applications, and current trends in the field. The chapters cover such topics as visual quality improvement, Parkinson's disease diagnosis, hypertensive retinopathy detection through retinal fundus, big image data processing, N-grams for image classification, medical brain images, chatbot applications, credit score improvisation, vision-based vehicle lane detection, damaged vehicle parts recognition, partial image encryption of medical images, and image synthesis. The chapter authors show different approaches to computer vision, image processing, and frameworks for machine learning to build automated and stable applications. Deep learning is included for making immersive application-based systems, pattern recognition, and biometric systems. The book also considers efficiency and comparison at various levels of using algorithms for real-time applications, processes, and analysis.
Dr. Thippa Reddy Gadekallu is currently working as Associate Professor in the School of Information Technology and Engineering, VIT, Vellore, Tamil Nadu, India. He obtained his BTech in CSE from Nagarjuna University, India; MTech in CSE from Anna University, Chennai, Tamil Nadu, India; and completed his PhD in VIT, Vellore, Tamil Nadu, India. He has more than 14 years of experience in teaching. He has published more than 50 international/national publications. Currently, his areas of research include Machine Learning, Internet of Things, Deep Neural Networks, Blockchain, Computer Vision. He filed one patents deriving from his research.
Dr. B. D. Parameshachari is currently working as a Professor and Head in the Department of Telecommunication Engineering at GSSS Institute of Engineering & Technology for Women, Mysuru, affiliated to Visvesvaraya
- Autoren: Chiranji Lal Chowdhary , G. Thippa Reddy , B. D. Parameshachari
- 2022, 1. Auflage, 272 Seiten, Englisch
- Verlag: Taylor & Francis
- ISBN-10: 1000400778
- ISBN-13: 9781000400779
- Erscheinungsdatum: 09.03.2022
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- Dateiformat: PDF
- Größe: 28 MB
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