LEADER 06008nam 22007455 450 001 9910299669703321 005 20240417193228.0 010 $a3-319-11218-X 024 7 $a10.1007/978-3-319-11218-3 035 $a(CKB)3710000000230849 035 $a(EBL)1967194 035 $a(OCoLC)908086264 035 $a(SSID)ssj0001353935 035 $a(PQKBManifestationID)11868572 035 $a(PQKBTitleCode)TC0001353935 035 $a(PQKBWorkID)11322580 035 $a(PQKB)11782605 035 $a(DE-He213)978-3-319-11218-3 035 $a(MiAaPQ)EBC1967194 035 $a(PPN)181350521 035 $a(EXLCZ)993710000000230849 100 $a20140908d2015 u| 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aAdvances in Intelligent Informatics /$fedited by El-Sayed M. El-Alfy, Sabu M. Thampi, Hideyuki Takagi, Selwyn Piramuthu, Thomas Hanne 205 $a1st ed. 2015. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2015. 215 $a1 online resource (663 p.) 225 1 $aAdvances in Intelligent Systems and Computing,$x2194-5357 ;$v320 300 $aDescription based upon print version of record. 311 $a3-319-11217-1 320 $aIncludes bibliographical references and index. 327 $a""Preface""; ""Organization""; ""Contents""; ""Artificial Immune System Based Image Enhancement Technique""; ""1 Introduction""; ""2 Methodology""; ""2.1 Overview of Artificial Immune System""; ""2.2 Functions Used""; ""2.3 Proposed Method""; ""3 Results and Discussions""; ""4 Conclusions""; ""References""; ""Grayscale to Color Map Transformation for Efficient Image Analysis on Low Processing Devices""; ""1 Introduction""; ""2 Proposed Grayscale to Color Transform""; ""3 Experimental Results and Analysis""; ""3.1 k-Means Clustering Algorithm""; ""3.2 Applications and Scopes"" 327 $a""4 Conclusion and Future""""References""; ""Automatic Classification of Brain MRI Images Using SVM and Neural Network Classifiers""; ""1 Introduction""; ""2 Related Works""; ""3 Design of the CAD System""; ""3.1 Preprocessing""; ""3.2 Segmentation""; ""3.3 Classification""; ""4 Experimental Results""; ""4.1 Data Set Used""; ""4.2 Performance Analysis of FCM on Original and Reduced Image Data""; ""4.3 Parameters Used for Classifier Evaluation""; ""4.4 Experiments Conducted""; ""5 Conclusion and Future Work""; ""References"" 327 $a""An Investigation of fSVD and Ridgelet Transform for Illumination and Expression Invariant Face Recognition""""1 Introduction""; ""2 Proposed Methodology""; ""2.1 flustered SVD (fSVD)""; ""2.2 Ridgelet Transform""; ""2.3 Classification""; ""3 Experimental Results and Performance Analysis""; ""4 Conclusion""; ""References""; ""Coslets: A Novel Approach to Explore Object Taxonomy in Compressed DCT Domain for Large Image Datasets""; ""1 Introduction""; ""2 Proposed Method""; ""2.1 Segmentation in Complex Hybrid Color Space""; ""2.2 Feature Extraction and Classification"" 327 $a""3 Experimental Results and Performance Analysis""""3.1 Caltech - 101 Dataset""; ""3.2 Caltech - 256 Dataset""; ""4 Discussion and Conclusion""; ""References""; ""AI Based Automated Identification and Estimation of Noise in Digital Images""; ""1 Introduction""; ""2 Probabilistic Neural Network (PNN)[2]""; ""3 Methodology""; ""3.1 Noise Identification Stage""; ""3.2 Noise Level Estimation Stage""; ""4 Implementation and Results""; ""5 Conclusion""; ""References""; ""SV-M/D: Support Vector Machine-Singular Value Decomposition Based Face Recognition""; ""1 Introduction""; ""2 Methodology"" 327 $a""2.1 Support Vector Machine (SVM)""""2.2 Singular Value Decomposition (SVD)""; ""3 Results and Discussion""; ""4 Conclusion""; ""Appendix I - Solving for Dual Optimization Problem6""; ""Appendix II - Mercer-Hilbert-Schmidt Theorem""; ""References""; ""A New Single Image Dehazing Approach Using Modified Dark Channel Prior ""; ""1 Introduction""; ""2 Related Work""; ""2.1 Optical Model of Hazy Images""; ""2.2 Dark Channel Prior""; ""2.3 Transmission Estimation""; ""2.4 Restoration of Input Image""; ""3 Proposed Meth hodology""; ""3.1 Convert RGB to o LAB Color Space"" 327 $a""3.2 Estimation of R Refined Transmission Map Using Dark Channel Prior"" 330 $aThis book contains a selection of refereed and revised papers of Intelligent Informatics Track originally presented at the third International Symposium on Intelligent Informatics (ISI-2014), September 24-27, 2014, Delhi, India. The papers selected for this Track cover several intelligent informatics and related topics including signal processing, pattern recognition, image processing data mining and their applications. 410 0$aAdvances in Intelligent Systems and Computing,$x2194-5357 ;$v320 606 $aComputational intelligence 606 $aArtificial intelligence 606 $aComputational Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/T11014 606 $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000 615 0$aComputational intelligence. 615 0$aArtificial intelligence. 615 14$aComputational Intelligence. 615 24$aArtificial Intelligence. 676 $a006.3 676 $a620 702 $aEl-Alfy$b El Sayed M.$f1968-$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aThampi$b Sabu M$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aTakagi$b Hideyuki$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aPiramuthu$b Selwyn$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aHanne$b Thomas$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910299669703321 996 $aAdvances in Intelligent Informatics$91413033 997 $aUNINA