000 03862nam a22005295i 4500
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
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.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aIntelligent Systems Reference Library,
_x1868-4394 ;
_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