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Approximation of Euclidean Metric by Digital Distances

Jayanta Mukhopadhyay author

Format:Paperback

Publisher:Springer Verlag, Singapore

Published:3rd Dec '20

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Approximation of Euclidean Metric by Digital Distances cover

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. 

“This monograph has a theoretical character and will be useful to researchers and postgraduate students in areas of digital geometry, pattern recognition, and image processing. … The analytical approaches discussed in the book would be useful in solving related problems in digital and distance geometry.” (Agnieszka Lisowska, zbMATH 1475.68010, 2022)

ISBN: 9789811599002

Dimensions: unknown

Weight: unknown

144 pages

1st ed. 2020