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Image Processing and Analysis
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Image Processing and Analysis (Paperback)

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Gain a firm understanding of image processing as you cover the major topics of the field using a balanced approach that progresses from simple explanations to more detailed descriptions within IMAGE PROCESSING AND ANALYSIS. This easy-to-follow, accessible book emphasizes a basic, fundamental understanding of the classic algorithms in the field while also highlighting recent research results. You can grasp the subtle tradeoffs among different approaches as well as understand them in context with the latest developments in the field. Numerous full-color illustrations and detailed pseudocode bridge the gap between mathematical equations underlying the important concepts and real-world application of those concepts. This understanding makes it easier for you to program your own implementations of these algorithms. In addition, consistent notation throughout this edition makes it easier to follow the various concepts.

Computing & ITComputer scienceImage processingComputing & ITComputer scienceSystems analysis & designTechnicalEnergy technology & engineeringElectrical engineeringTechnicalOther technologies & applied sciencesApplied opticsImaging systems & technology Publisher: Cengage Learning, Inc Publication Date: 14/10/2016 ISBN-13: 9781285179520  Details: Type: Paperback Format: Books
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Dr. Stan Birchfield conducts research and development at Microsoft(R) Corporation, working on various aspects of robotics and computer vision. Previously, he was an assistant professor, then associate professor in the Electrical and Computer Engineering Department of Clemson University, where he spent a decade conducting research and teaching. He remains an adjunct faculty member at Clemson. He received a Ph.D. in Electrical Engineering with a minor in Computer Science from Stanford University in 1999, an M.S. from Stanford in 1996, and a B.S. from Clemson in 1993. While at Stanford, his research was supported by a National Science Foundation Graduate Research Fellowship, and he was part of the team that won first place at the AAAI Mobile Robotics Competition of 1994. After graduating from Stanford, he spent four years as a research engineer at a startup company in Palo Alto, California. At Clemson he co-founded a startup that uses computer vision to automatically collect aggregate traffic parameters from live video feeds. Over the years he has worked with or consulted for various companies, including Sun Microsystems, SRI International, Canon, Microsoft, and Autodesk. Dr. Birchfield has authored or co-authored more than 70 publications in the areas of computer vision, stereo correspondence, visual tracking, spatial acoustics, and mobile robotics, and his open-source software has been used by thousands of researchers around the world.

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