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001 978-981-15-9901-9
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008 201202s2020 si | s |||| 0|eng d
020 _a9789811599019
_9978-981-15-9901-9
024 7 _a10.1007/978-981-15-9901-9
_2doi
050 4 _aTA1634
072 7 _aUYQV
_2bicssc
072 7 _aCOM016000
_2bisacsh
072 7 _aUYQV
_2thema
082 0 4 _a006.37
_223
100 1 _aMukhopadhyay, Jayanta.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
245 1 0 _aApproximation of Euclidean Metric by Digital Distances
_h[electronic resource] /
_cby Jayanta Mukhopadhyay.
250 _a1st ed. 2020.
264 1 _aSingapore :
_bSpringer Nature Singapore :
_bImprint: Springer,
_c2020.
300 _aXX, 144 p. 31 illus., 5 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
505 0 _aGeometry, Space and Metrics -- Digital distances: Classes and hierarchies -- Error analysis analytical approaches -- Linear combination of digital distances.
520 _aThis 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. .
650 0 _aComputer vision.
650 0 _aPattern recognition systems.
650 0 _aFunctional analysis.
650 0 _aComputer science
_xMathematics.
650 0 _aDiscrete mathematics.
650 1 4 _aComputer Vision.
650 2 4 _aAutomated Pattern Recognition.
650 2 4 _aFunctional Analysis.
650 2 4 _aDiscrete Mathematics in Computer Science.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9789811599002
776 0 8 _iPrinted edition:
_z9789811599026
856 4 0 _uhttps://doi.org/10.1007/978-981-15-9901-9
912 _aZDB-2-SCS
912 _aZDB-2-SXCS
942 _cSPRINGER
999 _c176809
_d176809