Digital Geometry in Image Processing

AvJayanta Mukhopadhyay,Partha Pratim Das

Häftad, Engelska, 2019

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Beskrivning

Exploring theories and applications developed during the last 30 years, Digital Geometry in Image Processing presents a mathematical treatment of the properties of digital metric spaces and their relevance in analyzing shapes in two and three dimensions. Unlike similar books, this one connects the two areas of image processing and digital geometry, highlighting important results of digital geometry that are currently used in image analysis and processing.The book discusses different digital geometries in multi-dimensional integral coordinate spaces. It also describes interesting properties of the geometries, including metric and topological properties, shapes of circles and spheres, proximity to Euclidean norms, and number theoretic representations of geometric objects such as straight lines and circles. The authors—all active researchers in image processing and digital geometry—demonstrate how these concepts and properties are useful in various techniques for image processing and analysis. In particular, the book covers applications in object representation and shape analysis.With many figures (some in color) and end-of-chapter exercises, this book provides an in-depth, unified account of digital metrics, the characterization of digital curves and straight lines, and their uses in shape analysis. It gives you insight on the latest two- and three-dimensional image processing applications.

Produktinformation

Utgivningsdatum:2019-10-23
Mått:156 x 234 x 23 mm
Vikt:453 g
Format:Häftad
Språk:Engelska
Antal sidor:318
Förlag:Taylor & Francis Ltd
ISBN:9780367380212

Utforska kategorier

Systemvetenskap och AI inom Data och IT
Matematik inom Naturvetenskap och teknik

Mer om författaren

Jayanta Mukhopadhyay is a professor in the Department of Computer Science and Engineering at the Indian Institute of Technology (IIT) Kharagpur, where he is currently head of the Department of Computer Science and Engineering and the School of Information and Technology. Dr. Mukhopadhyay was a Humboldt Research Fellow at the Technical University of Munich and has held visiting positions at the University of California-Santa Barbara, University of Southern California, and the National University of Singapore. He is a senior member of the IEEE and a fellow of the Indian National Academy of Engineering (INAE). His research interests include image processing, pattern recognition, computer graphics, multimedia systems, and medical informatics. He has published more than 170 journal articles and conference proceedings in these areas. He received his B.Tech., M.Tech., and Ph.D. in electronics and electrical communication engineering from IIT Kharagpur.Partha Pratim Das is a professor in the Department of Computer Science and Engineering at IIT Kharagpur. He is also a visiting professor in the Institute of Radio Physics and Electronics at Calcutta University. Dr. Das is a member of the Association for Computing Machinery (ACM) and the VLSI Society of India and a reviewer for ACM Computing Surveys and Pattern Recognition Letters. He has published over 40 technical papers in digital geometry, image processing, parallel computing, and knowledge-based systems and has co-authored a book Digital Geometry in Image Processing. His research interests include object tracking and interpretation in videos, medical information processing, and debugging automation for multi-threaded programs. He obtained his B.Tech., M.Tech., and Ph.D. in electronics and electrical communication from IIT Kharagpur.Samiran Chattopadhyay is a professor in the Department of Information Technology at Jadavpur Univers

Recensioner i media

" ... there is a lot in this book to like: it covers a great deal of material ... . I hope to see a second edition--this book deserves one, and the material deserves plenty of readers."--Alasdair McAndrew, Computing Reviews, December 2013

Innehållsförteckning

Digital Topology: Fundamentals. Distance Functions in Digital Geometry. Digitization of Straight Lines and Planes. Digital Straightness and Polygonal Approximation. Parametric Curve Estimation and Reconstruction. Medial Axis Transform. Modeling of Voxelated Surface. Bibliography. Index.