000 | 03862nam a22005295i 4500 | ||
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001 | 978-3-319-32192-9 | ||
003 | DE-He213 | ||
005 | 20200421112556.0 | ||
007 | cr nn 008mamaa | ||
008 | 160519s2016 gw | s |||| 0|eng d | ||
020 |
_a9783319321929 _9978-3-319-32192-9 |
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024 | 7 |
_a10.1007/978-3-319-32192-9 _2doi |
|
050 | 4 | _aQ342 | |
072 | 7 |
_aUYQ _2bicssc |
|
072 | 7 |
_aCOM004000 _2bisacsh |
|
082 | 0 | 4 |
_a006.3 _223 |
245 | 1 | 0 |
_aNew Approaches in Intelligent Image Analysis _h[electronic resource] : _bTechniques, Methodologies and Applications / _cedited by Roumen Kountchev, Kazumi Nakamatsu. |
264 | 1 |
_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2016. |
|
300 |
_aXX, 373 p. 157 illus., 119 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 |
||
490 | 1 |
_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 | _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. | ||
650 | 0 | _aEngineering. | |
650 | 0 | _aArtificial intelligence. | |
650 | 0 | _aSystem theory. | |
650 | 0 | _aComputational intelligence. | |
650 | 0 | _aControl engineering. | |
650 | 1 | 4 | _aEngineering. |
650 | 2 | 4 | _aComputational Intelligence. |
650 | 2 | 4 | _aControl. |
650 | 2 | 4 | _aArtificial Intelligence (incl. Robotics). |
650 | 2 | 4 | _aSystems Theory, Control. |
700 | 1 |
_aKountchev, Roumen. _eeditor. |
|
700 | 1 |
_aNakamatsu, Kazumi. _eeditor. |
|
710 | 2 | _aSpringerLink (Online service) | |
773 | 0 | _tSpringer eBooks | |
776 | 0 | 8 |
_iPrinted edition: _z9783319321905 |
830 | 0 |
_aIntelligent Systems Reference Library, _x1868-4394 ; _v108 |
|
856 | 4 | 0 | _uhttp://dx.doi.org/10.1007/978-3-319-32192-9 |
912 | _aZDB-2-ENG | ||
942 | _cEBK | ||
999 |
_c59132 _d59132 |