000 | 02589nam a22005415i 4500 | ||
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001 | 978-981-15-9901-9 | ||
003 | DE-He213 | ||
005 | 20240423125331.0 | ||
007 | cr nn 008mamaa | ||
008 | 201202s2020 si | s |||| 0|eng d | ||
020 |
_a9789811599019 _9978-981-15-9901-9 |
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024 | 7 |
_a10.1007/978-981-15-9901-9 _2doi |
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050 | 4 | _aTA1634 | |
072 | 7 |
_aUYQV _2bicssc |
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072 | 7 |
_aCOM016000 _2bisacsh |
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072 | 7 |
_aUYQV _2thema |
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082 | 0 | 4 |
_a006.37 _223 |
100 | 1 |
_aMukhopadhyay, Jayanta. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut |
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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. |
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300 |
_aXX, 144 p. 31 illus., 5 illus. in color. _bonline resource. |
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336 |
_atext _btxt _2rdacontent |
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337 |
_acomputer _bc _2rdamedia |
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338 |
_aonline resource _bcr _2rdacarrier |
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347 |
_atext file _bPDF _2rda |
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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. |
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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 |