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001 978-3-319-32192-9
003 DE-He213
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020 _a9783319321929
_9978-3-319-32192-9
024 7 _a10.1007/978-3-319-32192-9
_2doi
050 4 _aQ342
072 7 _aUYQ
_2bicssc
072 7 _aTEC009000
_2bisacsh
072 7 _aUYQ
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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.
250 _a1st ed. 2016.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2016.
300 _aXX, 373 p. 157 illus., 119 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aIntelligent Systems Reference Library,
_x1868-4408 ;
_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 _aComputational intelligence.
_97716
650 0 _aControl engineering.
_931970
650 0 _aArtificial intelligence.
_93407
650 0 _aSystem theory.
_93409
650 0 _aControl theory.
_93950
650 1 4 _aComputational Intelligence.
_97716
650 2 4 _aControl and Systems Theory.
_931972
650 2 4 _aArtificial Intelligence.
_93407
650 2 4 _aSystems Theory, Control .
_931597
700 1 _aKountchev, Roumen.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_936467
700 1 _aNakamatsu, Kazumi.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_936468
710 2 _aSpringerLink (Online service)
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773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783319321905
776 0 8 _iPrinted edition:
_z9783319321912
776 0 8 _iPrinted edition:
_z9783319812199
830 0 _aIntelligent Systems Reference Library,
_x1868-4408 ;
_v108
_936470
856 4 0 _uhttps://doi.org/10.1007/978-3-319-32192-9
912 _aZDB-2-ENG
912 _aZDB-2-SXE
942 _cEBK
999 _c75983
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