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Approximation of Euclidean Metric by...
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Mukhopadhyay, Jayanta.
Approximation of Euclidean Metric by Digital Distances
Record Type:
Language materials, printed : Monograph/item
Title/Author:
Approximation of Euclidean Metric by Digital Distances/ by Jayanta Mukhopadhyay.
Author:
Mukhopadhyay, Jayanta.
Description:
XX, 144 p. 31 illus., 5 illus. in color.online resource. :
Contained By:
Springer Nature eBook
Subject:
Optical data processing. -
Online resource:
https://doi.org/10.1007/978-981-15-9901-9
ISBN:
9789811599019
Approximation of Euclidean Metric by Digital Distances
Mukhopadhyay, Jayanta.
Approximation of Euclidean Metric by Digital Distances
[electronic resource] /by Jayanta Mukhopadhyay. - 1st ed. 2020. - XX, 144 p. 31 illus., 5 illus. in color.online resource.
Geometry, Space and Metrics -- Digital distances: Classes and hierarchies -- Error analysis analytical approaches -- Linear combination of digital distances.
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. .
ISBN: 9789811599019
Standard No.: 10.1007/978-981-15-9901-9doiSubjects--Topical Terms:
639187
Optical data processing.
LC Class. No.: TA1630-1650
Dewey Class. No.: 006.6
Approximation of Euclidean Metric by Digital Distances
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Geometry, Space and Metrics -- Digital distances: Classes and hierarchies -- Error analysis analytical approaches -- Linear combination of digital distances.
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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. .
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