| 000 | 02807nam a2200349 i 4500 | ||
|---|---|---|---|
| 999 |
_c399480 _d399480 |
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| 001 | 399480 | ||
| 003 | ES-MaUEC | ||
| 005 | 20240426152110.0 | ||
| 006 | a||||fo|||| 00| 0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 221223s2023 sz | fo |||| 0|eng d | ||
| 020 | _a9783031194252 | ||
| 024 | 7 |
_a10.1007/978-3-031-19425-2 _2doi |
|
| 040 |
_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC |
||
| 050 | 4 |
_aTA1637.5 _b2023 EB |
|
| 100 | 1 |
_aBloch, Isabelle _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9690121 |
|
| 245 | 1 | 0 |
_aFuzzy Sets Methods in Image Processing and Understanding : _bMedical Imaging Applications _cby Isabelle Bloch, Anca Ralescu |
| 250 | _a1st ed. 2023 | ||
| 264 | 1 |
_aCham _bSpringer International Publishing _c2023 |
|
| 300 | _a1 recurso en línea | ||
| 336 |
_atexto _btxt _2rdacontent |
||
| 337 |
_aelectrónico _bc _2rdamedia |
||
| 338 |
_arecurso electrónico _bcr _2rdacarrier |
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| 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 . | ||
| 988 | _aSpringer_BiomedLife_2023 | ||
| 650 | 7 |
_2embne _9669495 _aProceso de imágenes _xModelos matemáticos |
|
| 700 | 1 |
_9690122 _aRalescu, Anca L. _d1949- _eautor |
|
| 856 | 4 | 0 |
_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-031-19425-2 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid) |
| 942 |
_2lcc _cLE |
||
| 998 |
_b04/2024 _dz _eb _zSI |
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