The SpringerBrief covers fundamentals of digital image processing including image concept, image file formats, creating user interfaces and many practical examples of processing images using C++ and Java. These practical examples include among other creating image histograms, performing lossless image compression, detecting change in colors, similarity-based image retrieval and others.
All practical examples are accompanied with an explanation how to create programs and the obtained results. This SpringerBrief can be very useful for the undergraduate courses on image processing, providing students with the basic tools in image analysis and processing. Practitioners and researchers working in this field will also find this research useful.
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Nataliia Neshenko, Ph.D., FCCA, PMP, PMI-ACP is Visiting Instructor at the Department of Information Technology and Operations Management (ITOM) at the College of Business, Florida Atlantic University. Her research focus is operational cybersecurity, including attack detection and characterization, risk management methodologies, the Internet of Things, and visual data mining and analysis. Her research findings are published in leading refereed security and data science journals and conferences. Dr. Neshenko is a recipient of the Best Paper Award at the 2017 IEEE International Symposium on Personal Indoor and Mobile Radio Communications. She also has over 16 years of project management experience in the field of business optimization in finance and IT. Bou-Harb, Ph.D., CISSP received a Ph.D. degree in computer science from Concordia University, Montreal, Canada. He was a visiting research scientist at Carnegie Mellon University (CMU), Pittsburgh, PA, USA, in 2015-2016. He is currently the Director of The Cyber Center For Security and Analytics at the University of Texas at San Antonio (UTSA) and an Associate Professor at the Department of Information Systems and Cyber Security. Dr. Bou-Harb specializes in operational cyber security and data science as applicable to the national security challenge. He is also a research scientist at the National Cyber Forensic and Training Alliance (NCFTA) of Canada. His current research interests are operational cyber security, attack detection and characterization, Internet measurements, and cyber security for critical infrastructure. Dr. Bou-Harb has authored more than 120 refereed publications in leading security and data science venues; he is the recipient of 5 best research paper awards, including the prestigious ACM's best digital forensics research paper. His research is funded by state and federal cyber security research grants valued at more than $8M. Borko Furht, Ph.D. is Professor of Computer Science and Engineering at Florida Atlantic University and Director of the NSF Industry/University Cooperative Research Center for Advanced Knowledge Enablement. His areas of research include video and image processing and coding, Internet computing, and video applications in medicine, surveillance, and various industries. He published more than 300 referred papers, 45 books, and has about 60 patents and patent applications. He assured funding of about $25 million from government agencies such as NSF, Department of Navy, NASA, and NIH, and high-tech companies including Google, Motorola, Apple, IBM, LexisNexis, and others. He was Researcher of the Year at FAU in 2013 and 2019. He is a member of European Academy of Science. He has been an expert witness and consultant for a number of high-tech companies.
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Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - The SpringerBrief covers fundamentals of digital image processing including imageconcept, image file formats, creating user interfaces and many practicalexamples of processing images using C++ and Java. These practicalexamples include among other creating image histograms, performinglossless image compression, detecting change in colors, similarity-basedimage retrieval and others.All practical examples are accompanied with an explanation how to create programsand the obtained results. This SpringerBrief can be very useful for the undergraduate courseson image processing, providing students with the basic tools in image analysis andprocessing. Practitioners and researchers working in this field will also find this research useful. Artikel-Nr. 9783319966335
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Taschenbuch. Zustand: Neu. Digital Image Processing: Practical Approach | Borko Furht (u. a.) | Taschenbuch | SpringerBriefs in Computer Science | viii | Englisch | 2018 | Springer | EAN 9783319966335 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. Artikel-Nr. 113979810
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