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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| Language: | English |
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Singapore :
Springer Singapore : Imprint: Springer,
2020.
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| Edition: | 1st ed. 2020. |
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| Online Access: | https://doi.org/10.1007/978-981-15-9901-9 |
Table of Contents:
- Geometry, Space and Metrics
- Digital distances: Classes and hierarchies
- Error analysis analytical approaches
- Linear combination of digital distances.