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.
Mục lục
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.
Giới thiệu về tác giả
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 Ph D 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 received M.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, Galgotias University, 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 Ph D, 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 andresearcher at the National Technological University, Cordoba Regional Faculty (UTN-FRC). He is an Information Systems Engineer, graduated from the National Technological University (UTN-FRC), Argentina. He is a master’s in software engineering, graduated from the National University of La Plata, Argentina and Doctor in Software Engineering based on reusable components, Man-Machine interface applications, graduated from the University of Vigo – Spain. He is the director of the Center for Research, Development and Transfer of Information Systems (CIDS) at the UTN-FRC. He is Coordinator of the Information Systems Research Program and Member of the Central Postgraduate Commission of the UTN, and currently serves as the Postgraduate Secretary at the Cordoba Regional Faculty.
Prof.(Dr.) Adrián Will received a degree in Mathematics from FAMAF-UNC and a Ph.D in Mathematics from the same university. He currently is the Director of the Research Group G.I.T.I.A. (www.gitia.org), a Research Group focused on Artificial Intelligence, Machine Learning and its applications, in the National Technological University (UTN), Tucumán Faculty. He is also the Director of the Specialization and master’s in engineering of Information Systems in the same faculty. He has published articles in several national and international journals and conferences and presented two patent applications. His main research interests are Evolutionary Algorithms, Artificial Neural Networks, and Heuristic Optimization. He is also involved in several industrial projects dealing with Optimization of Electricity Distribution Networks, Energy Consumption Management and Human Thermal Comfort, among others.
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