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001			85511
003			ES-MaUEC
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007			cr nn 008mamaa
008			160222s2016 gw | s |||| 0|eng d
020			_a9783319288543
040			_aES-MaUEC
050		4	_aTA1637 _b.I434 2016
082	0	4	_a006.3
245	1	0	_aImage Feature Detectors and Descriptors : _bFoundations and Applications _cedited by Ali Ismail Awad, Mahmoud Hassaballah
250			_a1st ed.
260			_aCham _bSpringer International Publishing _c2016
300			_a1 recurso en línea (IX, 438 páginas) _b213 ilustraciones, 84 ilustraciones en color
336			_aTexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
490	0		_aStudies in Computational Intelligence _x1860-949X _v630
505	0		_aIntroduction -- Image Features Detection, Description and Matching -- A Review of Image Interest Point Detectors: From Algorithms to FPGA Hardware Implementations -- Image Features Extraction, Selection and Fusion for Computer Vision -- Image Feature Extraction Acceleration -- Satellite Image Registration: A Comparative Study Using Invariant Local Features -- Redundancy Elimination in Video Summarization -- A Real Time Dactylology Based Selective Image Encryption Using Speeded Up Robust Features Extraction Technique and Artificial Neural Network -- Spectral Reflectance Images and Applications -- Image Segmentation using an Evolutionary Method based on Allostatic Mechanisms -- Image Analysis and Coding Based on Ordinal Data Representation -- Intelligent Detection of Foveal Zone from Colored Fundus Images of Human Retina through a Robust Combination of Fuzzy-Logic and Active Contour Model -- Registration of Digital Terrain Images using Nondegenerate Singular Points -- Visual Speech Recognition with Selected Boundary Descriptors -- Application of Texture Features for Classification of Primary Benign and Primary Malignant Focal Liver Lesions -- Application of Statistical Texture Features for Breast Tissue Density Classification.
520	3		_aThis book provides readers with a selection of high-quality chapters that cover both theoretical concepts and practical applications of image feature detectors and descriptors. It serves as reference for researchers and practitioners by featuring survey chapters and research contributions on image feature detectors and descriptors. Additionally, it emphasizes several keywords in both theoretical and practical aspects of image feature extraction. The keywords include acceleration of feature detection and extraction, hardware implantations, image segmentation, evolutionary algorithm, ordinal measures, as well as visual speech recognition. .
650	0	7	_aGráficos de ordenador _2embne _9141143
650	0	7	_9159793 _aVisión por ordenador _2embne
700	1		_aAwad, Ali Ismail _eeditor literario _0Local _998525
700	1		_aHassaballah, Mahmoud _eeditor literario _0Local _998526
710	2		_aSpringerLink (Online service) _0Local _9106996
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://link.springer.com/book/10.1007/978-3-319-28854-3 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
901			_ai9783319288543
907			_a.b12947891 _b10-10-17 _c21-11-16
942			_2lcc _cLE
945			_aTA1637 .I434 2016 EB _g1 _ieBOOK _j0 _lmae _o- _pEUR0.00 _q- _r- _sb _t15 _u0 _v0 _w0 _x0 _y.i11591407 _z06-04-17
988			_aEBOOK, asignarmaterias , EBSPRINGER
998			_am _a_alco _a_vill _b - - _cm _dz _e- _feng _ggw _h0