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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