Trends and Advancements of Image Processing and Its Applications -

Trends and Advancements of Image Processing and Its Applications

Buch | Softcover
XII, 305 Seiten
2022 | 1st ed. 2022
Springer International Publishing (Verlag)
978-3-030-75947-6 (ISBN)
149,79 inkl. MwSt

This book covers current technological innovations and applications in image processing, introducing analysis techniques and describing applications in remote sensing and manufacturing, among others. The authors include new concepts of color space transformation like color interpolation, among others. Also, the concept of Shearlet Transform and Wavelet Transform and their implementation are discussed. The authors include a perspective about concepts and techniques of remote sensing like image mining, geographical, and agricultural resources. The book also includes several applications of human organ biomedical image analysis. In addition, the principle of moving object detection and tracking - including recent trends in moving vehicles and ship detection - is described.

  • Presents developments of current research in various areas of image processing;
  • Includes applications of image processing in remote sensing, astronomy, and manufacturing;
  • Pertains to researchers, academics, students, and practitioners in image processing.


lt;p>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.

 

Dr. Ruqaiya Khanam is working as Professor in School of Electrical, Electronics and Communication Engineering, Sharda University, Greater Noida, India. She receivedM.Tech.degree from Aligarh Muslim University and Ph.D. degree in Electronics and Communication from Jamia Millia Islamia University, New Delhi, India. She has also worked as a Professor, GalgotiasUniversity, Greater Noida. She has served as Chair in many conferences and affiliated as member of program committee of many conferences in India. She has been guiding 07 research scholars for the degree of PhD, guided 27 PG dissertations, have authored 03 books and several research articles and have contributed to earn a patent for Galgotias University. Her current research interests include Image Processing, Biomedical Signal and Image Processing, Fuzzy Logic Processor Design, Internet of Things, VLSI Design and Technology, High level designing using VHDL/Verilog, Low Power Chip designing...etc. She is actively publishing in these areas.

 

Prof. (Dr.) Marcelo Martín Marciszackis a professor and

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.

Erscheinungsdatum
Reihe/Serie EAI/Springer Innovations in Communication and Computing
Zusatzinfo XII, 305 p. 150 illus., 108 illus. in color.
Verlagsort Cham
Sprache englisch
Maße 155 x 235 mm
Gewicht 492 g
Themenwelt Mathematik / Informatik Informatik
Technik Elektrotechnik / Energietechnik
Schlagworte Deep learning-based image analysis • Image Recognition and Analysis • Medical Image detection and diagnoses • Moving Object Tracking • Pattern Recognition and Capsule Networks in Object Tracking • Wavelet Transformation
ISBN-10 3-030-75947-4 / 3030759474
ISBN-13 978-3-030-75947-6 / 9783030759476
Zustand Neuware
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