LEADER 04604nam 22006615 450 001 9910254235903321 005 20200704020940.0 010 $a3-319-32192-7 024 7 $a10.1007/978-3-319-32192-9 035 $a(CKB)3710000000685965 035 $a(EBL)4530177 035 $a(DE-He213)978-3-319-32192-9 035 $a(MiAaPQ)EBC4530177 035 $a(PPN)194074102 035 $a(EXLCZ)993710000000685965 100 $a20160519d2016 u| 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aNew Approaches in Intelligent Image Analysis $eTechniques, Methodologies and Applications /$fedited by Roumen Kountchev, Kazumi Nakamatsu 205 $a1st ed. 2016. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2016. 215 $a1 online resource (389 p.) 225 1 $aIntelligent Systems Reference Library,$x1868-4394 ;$v108 300 $aDescription based upon print version of record. 311 $a3-319-32190-0 320 $aIncludes bibliographical references at the end of each chapters and index. 327 $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. . 330 $aThis book presents an Introduction and 11 independent chapters, which are devoted to various new approaches of intelligent image processing and analysis. The book also presents new methods, algorithms and applied systems for intelligent image processing, on the following basic topics: Methods for Hierarchical Image Decomposition; Intelligent Digital Signal Processing and Feature Extraction; Data Clustering and Visualization via Echo State Networks; Clustering of Natural Images in Automatic Image Annotation Systems; Control System for Remote Sensing Image Processing; Tissue Segmentation of MR Brain Images Sequence; Kidney Cysts Segmentation in CT Images; Audio Visual Attention Models in Mobile Robots Navigation; Local Adaptive Image Processing; Learning Techniques for Intelligent Access Control; Resolution Improvement in Acoustic Maps. Each chapter is self-contained with its own references. Some of the chapters are devoted to the theoretical aspects while the others are presenting the practical aspects and the analysis of the modeling of the developed algorithms in different application areas. 410 0$aIntelligent Systems Reference Library,$x1868-4394 ;$v108 606 $aComputational intelligence 606 $aAutomatic control 606 $aArtificial intelligence 606 $aSystem theory 606 $aComputational Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/T11014 606 $aControl and Systems Theory$3https://scigraph.springernature.com/ontologies/product-market-codes/T19010 606 $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000 606 $aSystems Theory, Control$3https://scigraph.springernature.com/ontologies/product-market-codes/M13070 615 0$aComputational intelligence. 615 0$aAutomatic control. 615 0$aArtificial intelligence. 615 0$aSystem theory. 615 14$aComputational Intelligence. 615 24$aControl and Systems Theory. 615 24$aArtificial Intelligence. 615 24$aSystems Theory, Control. 676 $a621.3670151 702 $aKountchev$b Roumen$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aNakamatsu$b Kazumi$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910254235903321 996 $aNew Approaches in Intelligent Image Analysis$91547693 997 $aUNINA