06008nam 22007455 450 991029966970332120240417193228.03-319-11218-X10.1007/978-3-319-11218-3(CKB)3710000000230849(EBL)1967194(OCoLC)908086264(SSID)ssj0001353935(PQKBManifestationID)11868572(PQKBTitleCode)TC0001353935(PQKBWorkID)11322580(PQKB)11782605(DE-He213)978-3-319-11218-3(MiAaPQ)EBC1967194(PPN)181350521(EXLCZ)99371000000023084920140908d2015 u| 0engur|n|---|||||txtccrAdvances in Intelligent Informatics /edited by El-Sayed M. El-Alfy, Sabu M. Thampi, Hideyuki Takagi, Selwyn Piramuthu, Thomas Hanne1st ed. 2015.Cham :Springer International Publishing :Imprint: Springer,2015.1 online resource (663 p.)Advances in Intelligent Systems and Computing,2194-5357 ;320Description based upon print version of record.3-319-11217-1 Includes bibliographical references and index.""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""""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""""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""""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""""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""""3.2 Estimation of R Refined Transmission Map Using Dark Channel Prior""This 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.Advances in Intelligent Systems and Computing,2194-5357 ;320Computational intelligenceArtificial intelligenceComputational Intelligencehttps://scigraph.springernature.com/ontologies/product-market-codes/T11014Artificial Intelligencehttps://scigraph.springernature.com/ontologies/product-market-codes/I21000Computational intelligence.Artificial intelligence.Computational Intelligence.Artificial Intelligence.006.3620El-Alfy El Sayed M.1968-edthttp://id.loc.gov/vocabulary/relators/edtThampi Sabu Medthttp://id.loc.gov/vocabulary/relators/edtTakagi Hideyukiedthttp://id.loc.gov/vocabulary/relators/edtPiramuthu Selwynedthttp://id.loc.gov/vocabulary/relators/edtHanne Thomasedthttp://id.loc.gov/vocabulary/relators/edtMiAaPQMiAaPQMiAaPQBOOK9910299669703321Advances in Intelligent Informatics1413033UNINA