Advanced Digital Image Processing and Its Applications in Big Data (ePub)
This book covers the technology of digital image processing in various fields with big data and their applications. Readers will understand various technologies and strategies used in digital image processing as well as handling big data, using...
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This book covers the technology of digital image processing in various fields with big data and their applications. Readers will understand various technologies and strategies used in digital image processing as well as handling big data, using machine-learning techniques. This book will help to improve the skills of students and researchers in such fields as engineering, agriculture, and medical imaging.
There is a need to be able to understand and analyse the latest developments of digital image technology. As such, this book will cover:
· Applications such as biomedical science and biometric image processing, content-based image retrieval, remote sensing, pattern recognition, shape and texture analysis
· New concepts in color interpolation to produce the full color from the sub-pattern bare pattern color prevalent in today's digital cameras and other imaging devices
· Image compression standards that are needed to serve diverse applications
· Applications of remote sensing, medical science, traffic management, education, innovation, and analysis in agricultural design and image processing
· Both soft and hard computing approaches at great length in relation to major image processing tasks
· The direction and development of current and future research in many areas of image processing
· A comprehensive bibliography for additional research (integrated within the framework of the book)
This book focuses not only on theoretical and practical knowledge in the field but also on the traditional and latest tools and techniques adopted in image processing and data science. It also provides an indispensable guide to a wide range of basic and advanced techniques in the fields of image processing and data science.
Dr. Alaknanda Ashok is working as Professor and Dean, College of Technology, G.B.Pant University of Agriculture and Technology, Pantnagar. She is having a large administrative experience as director, Women Institute of technology and controller of examiner of Uttarakhand technical University. She is having more than 50 research papers in reputed journals and conferences of repute. She has also many book chapters. She is having 3 patents published. She is having many research project completed and undertaking under her supervision. She is also associated with many journals anc conferences in the capacity of editor, editorial board member and chair of conferences.
Mr. Parag Verma is working as Assistant Professor at Uttaranchal University, Dehradun. He is having a long experience of 8+ years in the field of industry and academics. He is having 15+ international papers in reputed conferences and journals. He has contributed 2 books with publishers like Nerosa and Alpha, and currently working on 2 more accepted books. He had also contributed 4 chapters for reputed publishers. He is also an editorial board member of many reputed conferences and journals including Scopus. He is also a guest editor of IJNCDS (Scopus Indexed inderscience Journal) and many more. He is associated with many societies and organizations for the
Poonam Verma is a Ph.D student of the Computer Science Department of Graphic Era Deemed to be University at Dehradun. She received the Master's Degree from AKTU, Uttarpradesh in the Computer Science and Engineering. She has qualified UGC NET in 2017. Her interest areas of research are Deep Learning and Blockchain. She is currently working as Asst. Prof in GEHU, Dehradun.
- Autoren: Ankur Dumka , Alaknanda Ashok , Parag Verma , Poonam Verma
- 2020, 1. Auflage, 236 Seiten, Englisch
- Verlag: Taylor & Francis
- ISBN-10: 1000281396
- ISBN-13: 9781000281392
- Erscheinungsdatum: 09.12.2020
Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.
- Dateiformat: ePub
- Größe: 13 MB
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