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007 | cr nn 008mamaa | ||
008 | 150903s2005 gw | o |||| 0|eng d | ||
020 |
_a9783540282938 _99783540282938 |
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024 | 7 |
_a10.1007/3540282939 _2doi |
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035 | _avtls000347130 | ||
039 | 9 |
_a201509030728 _bVLOAD _c201404121337 _dVLOAD _c201404091115 _dVLOAD _y201402070924 _zstaff |
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_aMX-SnUAN _bspa _cMX-SnUAN _erda |
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050 | 4 | _aTK5102.9 | |
100 | 1 |
_aLindblad, T. _eautor _9328330 |
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245 | 1 | 0 |
_aImage Processing Using Pulse-Coupled Neural Networks / _cby T. Lindblad, J.M. Kinser. |
250 | _aSecond, Revised Edition. | ||
264 | 1 |
_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg, _c2005. |
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300 |
_axI, 164 páginas 140 ilustraciones _brecurso en línea. |
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336 |
_atexto _btxt _2rdacontent |
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337 |
_acomputadora _bc _2rdamedia |
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338 |
_arecurso en línea _bcr _2rdacarrier |
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347 |
_aarchivo de texto _bPDF _2rda |
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500 | _aSpringer eBooks | ||
505 | 0 | _aand Theory -- Theory of Digital Simulation -- Automated Image Object Recognition -- Image Fusion -- Image Texture Processing -- Image Signatures -- Miscellaneous Applications -- Hardware Implementations. | |
520 | _aThis is the first book to explain and demonstrate the tremendous ability of Pulse-Coupled Neural Networks (PCNNs) when applied to the field of image processing. PCNNs and their derivatives are biologically inspired models that are powerful tools for extracting texture, segments, and edges from images. As these attributes form the foundations of most image processing tasks, the use of PCNNs facilitates traditional tasks such as recognition, foveation, and image fusion. PCNN technology has also paved the way for new image processing techniques such as object isolation, spiral image fusion, image signatures, and content-based image searches. This volume contains examples of several image processing applications, as well as a review of hardware implementations. | ||
590 | _aPara consulta fuera de la UANL se requiere clave de acceso remoto. | ||
700 | 1 |
_aKinser, J.M. _eautor _9328331 |
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710 | 2 |
_aSpringerLink (Servicio en línea) _9299170 |
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776 | 0 | 8 |
_iEdición impresa: _z9783540242185 |
856 | 4 | 0 |
_uhttp://remoto.dgb.uanl.mx/login?url=http://dx.doi.org/10.1007/3-540-28293-9 _zConectar a Springer E-Books (Para consulta externa se requiere previa autentificación en Biblioteca Digital UANL) |
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