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Book Cover
E-book
Author Mukhopadhyay, Jayanta (College teacher), author.

Title Approximation of Euclidean metric by digital distances / Jayanta Mukhopadhyay
Published Singapore : Springer, [2020]

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Description 1 online resource (xx, 144 pages) : illustrations (some color)
Contents Geometry, Space and Metrics -- Digital distances: Classes and hierarchies -- Error analysis analytical approaches -- Linear combination of digital distances
Summary This book discusses different types of distance functions defined in an n-D integral space for their usefulness in approximating the Euclidean metric. It discusses the properties of these distance functions and presents various kinds of error analysis in approximating Euclidean metrics. It also presents a historical perspective on efforts and motivation for approximating Euclidean metrics by digital distances from the mid-sixties of the previous century. The book also contains an in-depth presentation of recent progress, and new research problems in this area
Bibliography Includes bibliographical references and index
Notes Online resource; title from PDF title page (SpringerLink, viewed February 12, 2021)
Subject Distance geometry.
Image processing -- Digital techniques -- Mathematics
Geometry -- Data processing
Pattern recognition systems.
Pattern Recognition, Automated
Pattern recognition systems
Image processing -- Digital techniques -- Mathematics
Geometry -- Data processing
Distance geometry
Computer science -- Mathematics
Functional analysis
Optical data processing
Pattern perception
Form Electronic book
ISBN 9789811599019
9811599017