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Trends and Advancements of Image Processing and Its Applications

BuchGebunden
305 Seiten
Englisch
Springererschienen am14.11.20211st ed. 2022
This book covers current technological innovations and applications in image processing, introducing analysis techniques and describing applications in remote sensing and manufacturing, among others.mehr
Verfügbare Formate
BuchGebunden
EUR149,79
BuchKartoniert, Paperback
EUR149,79
E-BookPDF1 - PDF WatermarkE-Book
EUR139,09

Produkt

KlappentextThis book covers current technological innovations and applications in image processing, introducing analysis techniques and describing applications in remote sensing and manufacturing, among others.
Details
ISBN/GTIN978-3-030-75944-5
ProduktartBuch
EinbandartGebunden
Verlag
Erscheinungsjahr2021
Erscheinungsdatum14.11.2021
Auflage1st ed. 2022
Seiten305 Seiten
SpracheEnglisch
IllustrationenXII, 305 p. 150 illus., 108 illus. in color.
Artikel-Nr.49462467

Inhalt/Kritik

Inhaltsverzeichnis
Introduction.- Image Recognition and Analysis.- Image Segmentation and Edge Detection.- Image Registration.- Image Texture Analysis.- Clinical Imaging System.- Image Acquisition, Reconstruction and Synthesis.- Image Compression.- Feature Extraction Techniques.- Clinical Image Diagnosis.- Image Reconstructions and Losses.- Image Processing for Multispectral Images.- Image Enhancement and Restoration.- Image Formation Principle.- Conclusion.mehr

Schlagworte

Autor

Dr. Prashant Johri is working as a Professor in School of Computing Science & Engineering, Galgotias University, Greater Noida, India. He completed his B.Sc.(H) from Aligarh Muslim University in 1992 and M.C.A. from Aligarh Muslim University in 1995 and Ph.D. in Computer Science from Jiwaji University, Gwalior in 2011, India. He has also worked as a Professor and Director (M.C.A.), Galgotias Institute of Management and Technology, (G.I.M.T.) and worked as a Professor and Director (M.C.A.), Noida Institute of Engineering and Technology, (N.I.E.T.) Gr.Noida .He has served as Chair in many conferences and affiliated as member of program committee in many conferences of India and Abroad. He has supervised 2 PhD students and M.Tech. students for their thesis. He published more than 100 research papers in National and International Journals and Conferences. He has published Edited books in Elsevier and Springer.He has also contributed numerous book chapters in the several books published with publishers of high international repute. Apart from scholarly contribution towards scientific community, he organized several Conferences/Workshops/Seminars at the national and international levels. He voluntarily served as reviewer for various International Journals and conferences.His research interest includes Information Security, Cloud Computing, Block Chain,Machine Learning, AI, AR & VR, Healthcare, Agriculture, Image Processing, Software Reliability. He is actively publishing in these areas.



Prof.(Dr.) Mario José Diván was born in Santa Rosa (La Pampa, Argentina) on March 10 of 1979. He received an engineering degree in Information Systems from the National Technological University (Argentina) in 2003, while he holds a specialty in managerial engineering from the National Technological University (Argentina) in 2004, a specialty in data mining and knowledge discovery in databases from the University of Buenos Aires (Argentina) in 2007, and a specialty on high-performance and grid computing from the National University of La Plata (Argentina) in 2011. He obtained his Ph.D. in Computer Science in 2012 from the National University of La Plata (Argentina).

He is an IEEE Senior Member, while he was recognized in two opportunities with the Electronic Government Award from the Computer Science Argentine Society.
Currently, he is a Full-Professor from the National University of La Pampa (Argentina), head of the Data Science Research Group, an Honorary Professor from Amity Institute of Information Technology -Amity University- (Noida, India), and Visiting Professor in many Universities. His interest areas lie in data science, data stream, stream mining, high-performance computing, big data, Internet-of-Thing, measurement, and evaluation.