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Approximation of Euclidean Metric by 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 pres...

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Main Author:	Mukhopadhyay, Jayanta. (Author, http://id.loc.gov/vocabulary/relators/aut)
Corporate Author:	SpringerLink (Online service)
Language:	English
Published:	Singapore : Springer Singapore : Imprint: Springer, 2020.
Edition:	1st ed. 2020.
Subjects:	Optical data processing. Pattern recognition. Functional analysis. Computer science—Mathematics. Image Processing and Computer Vision. Pattern Recognition. Functional Analysis. Discrete Mathematics in Computer Science.
Online Access:	https://doi.org/10.1007/978-981-15-9901-9

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