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Record Nr. |
UNINA9910299669703321 |
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Titolo |
Advances in Intelligent Informatics / / edited by El-Sayed M. El-Alfy, Sabu M. Thampi, Hideyuki Takagi, Selwyn Piramuthu, Thomas Hanne |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 |
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ISBN |
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Edizione |
[1st ed. 2015.] |
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Descrizione fisica |
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1 online resource (663 p.) |
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Collana |
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Advances in Intelligent Systems and Computing, , 2194-5357 ; ; 320 |
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Disciplina |
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Soggetti |
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Computational intelligence |
Artificial intelligence |
Computational Intelligence |
Artificial Intelligence |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Description based upon print version of record. |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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""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 |
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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"" |
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Sommario/riassunto |
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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. |
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