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001			85891
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008			160519s2016 gw | s |||| 0|eng d
020			_a9783319321929
040			_aES-MaUEC
050		4	_aTA1637 _b.N493 2016
082	0	4	_a006.3
245	1	0	_aNew Approaches in Intelligent Image Analysis : _bTechniques, Methodologies and Applications _cedited by Roumen Kountchev, Kazumi Nakamatsu
260			_aCham _bSpringer International Publishing _c2016
300			_a1 recurso en línea (XX, 373 páginas) _b157 ilustraciones, 119 ilustraciones en color
336			_aTexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
490	0		_aIntelligent Systems Reference Library _x1868-4394 _v108
505	0		_aNew Approaches in Intelligent Image Analysis- Techniques, Methodologies and Applications -- New Approaches for Hierarchical Image Decomposition, based on IDP, SVD, PCA and KPCA -- Intelligent Digital Signal Processing and Feature Extraction Methods -- Multi-Dimensional Data Clustering and Visualization via Echo State Networks -- Unsupervised Clustering of Natural Images in Automatic Image Annotation Systems -- An Evolutionary Optimization Control System for Remote Sensing Image Processing -- Tissue Segmentation Methods using 2D Histogram Modification in a Sequence of MR Brain Images -- Multistage Approach for Simple Kidney Cysts Segmentation in CT Images -- Audio Visual Attention Models in Mobile Robots Navigation -- Local Adaptive Image Processing -- Learning Techniques for Intelligent Access Control -- Experimental Evaluation of Opportunity to Improve the Resolution of the Acoustic Maps. .
520	3		_aThis book presents an Introduction and 11 independent chapters, which are devoted to various new approaches of intelligent image processing and analysis. The book also presents new methods, algorithms and applied systems for intelligent image processing, on the following basic topics: Methods for Hierarchical Image Decomposition; Intelligent Digital Signal Processing and Feature Extraction; Data Clustering and Visualization via Echo State Networks; Clustering of Natural Images in Automatic Image Annotation Systems; Control System for Remote Sensing Image Processing; Tissue Segmentation of MR Brain Images Sequence; Kidney Cysts Segmentation in CT Images; Audio Visual Attention Models in Mobile Robots Navigation; Local Adaptive Image Processing; Learning Techniques for Intelligent Access Control; Resolution Improvement in Acoustic Maps. Each chapter is self-contained with its own references. Some of the chapters are devoted to the theoretical aspects while the others are presenting the practical aspects and the analysis of the modeling of the developed algorithms in different application areas.
710	2		_aSpringerLink (Online service) _0Local _9106996
942			_2lcc _cLE
988			_aEBOOK, asignarmaterias , EBSPRINGER
650		7	_aInteligencia artificial _0comprobar BNE19900997218 _2embne _9413115
650	0	7	_aSistemas, Teoría de _0 _2embne _9141328
700	1		_aKountchev, Roumen _eeditor literario _0Local _999182
700	1		_aNakamatsu, Kazumi. _eeditor literario _999181 _0Local
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://link.springer.com/book/10.1007/978-3-319-32192-9 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
901			_ai9783319321929
907			_a.b12951699 _b10-10-17 _c21-11-16
998			_am _a_alco _a_vill _b - - _cm _dz _e- _feng _ggw _h0
945			_aTA1637 .N493 2016 EB _g1 _ieBOOK _j0 _lmae _o- _pEUR0.00 _q- _r- _sb _t15 _u0 _v0 _w0 _x0 _y.i11594470 _z06-04-17
999			_c85891 _d85891 _x1