000 | 03473nam a22005535i 4500 | ||
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001 | 978-3-031-19425-2 | ||
003 | DE-He213 | ||
005 | 20240207153431.0 | ||
007 | cr nn 008mamaa | ||
008 | 221223s2023 sz | s |||| 0|eng d | ||
020 |
_a9783031194252 _9978-3-031-19425-2 |
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050 | 4 | _aTP248.13-248.65 | |
072 | 7 |
_aTCB _2bicssc |
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_aMED003040 _2bisacsh |
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072 | 7 |
_aTCB _2thema |
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082 | 0 | 4 |
_a660.6 _223 |
100 | 1 |
_aBloch, Isabelle. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut |
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245 | 1 | 0 |
_aFuzzy Sets Methods in Image Processing and Understanding _h[electronic resource] : _bMedical Imaging Applications / _cby Isabelle Bloch, Anca Ralescu. |
250 | _a1st ed. 2023. | ||
264 | 1 |
_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2023. |
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300 |
_aXIII, 302 p. 97 illus., 45 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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500 | _aAcceso multiusuario | ||
505 | 0 | _aIntroduction -- Preliminaries -- Fuzzy spatial objects (fuzzy geometry and topology, set theoretic operations) -- Mathematical morphology -- Distances and similarities between fuzzy sets -- Machine learning in image processing and understanding -- Fusion -- Spatial relations -- Structural representations. | |
520 | _aThis book provides a thorough overview of recent methods using higher level information (object or scene level) for advanced tasks such as image understanding along with their applications to medical images. Advanced methods for fuzzy image processing and understanding are presented, including fuzzy spatial objects, geometry and topology, mathematical morphology, machine learning, verbal descriptions of image content, fusion, spatial relations, and structural representations. For each methodological aspect covered, illustrations from the medical imaging domain are provided. This is an ideal book for graduate students and researchers in the field of medical image processing. This book also: Enriches reader understanding of the latest fuzzy sets methods using higher level information (object or scene level) for advanced tasks, such as image understanding Shares many insights into fuzzy spatial objects, including fuzzy geometry and topology as well as set theoretical operations Covers in detail machine learning in image processing and understanding, with special focus on clustering, classification, and basic and advanced fuzzy methods . | ||
541 |
_fUABC ; _cPerpetuidad |
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650 | 0 | _aBiotechnology. | |
650 | 0 | _aComputer vision. | |
650 | 0 | _aRadiology. | |
650 | 1 | 4 | _aBiotechnology. |
650 | 2 | 4 | _aComputer Vision. |
650 | 2 | 4 | _aRadiology. |
700 | 1 |
_aRalescu, Anca. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut |
|
710 | 2 | _aSpringerLink (Online service) | |
773 | 0 | _tSpringer Nature eBook | |
776 | 0 | 8 |
_iPrinted edition: _z9783031194245 |
776 | 0 | 8 |
_iPrinted edition: _z9783031194269 |
776 | 0 | 8 |
_iPrinted edition: _z9783031194276 |
856 | 4 | 0 |
_zLibro electrónico _uhttp://libcon.rec.uabc.mx:2048/login?url=https://doi.org/10.1007/978-3-031-19425-2 |
912 | _aZDB-2-SBL | ||
912 | _aZDB-2-SXB | ||
942 | _cLIBRO_ELEC | ||
999 |
_c260157 _d260156 |