Advances in Intelligent Informatics [[electronic resource] /] / edited by El-Sayed M. El-Alfy, Sabu M. Thampi, Hideyuki Takagi, Selwyn Piramuthu, Thomas Hanne
(Visualizza in formato marc)
(Visualizza in BIBFRAME)
| Titolo: |
Advances in Intelligent Informatics [[electronic resource] /] / edited by El-Sayed M. El-Alfy, Sabu M. Thampi, Hideyuki Takagi, Selwyn Piramuthu, Thomas Hanne
|
| Pubblicazione: | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 |
| Edizione: | 1st ed. 2015. |
| Descrizione fisica: | 1 online resource (663 p.) |
| Disciplina: | 006.3 |
| 620 | |
| Soggetto topico: | Computational intelligence |
| Artificial intelligence | |
| Computational Intelligence | |
| Artificial Intelligence | |
| Persona (resp. second.): | El-AlfyEl Sayed M. <1968-> |
| ThampiSabu M | |
| TakagiHideyuki | |
| PiramuthuSelwyn | |
| HanneThomas | |
| Note generali: | Description based upon print version of record. |
| Nota di bibliografia: | Includes bibliographical references and index. |
| Nota di contenuto: | ""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"" | |
| Sommario/riassunto: | 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. |
| Titolo autorizzato: | Advances in Intelligent Informatics |
| ISBN: | 3-319-11218-X |
| Formato: | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione: | Inglese |
| Record Nr.: | 9910299669703321 |
| Lo trovi qui: | Univ. Federico II |
| Opac: | Controlla la disponibilità qui |
Serie:
Advances in Intelligent Systems and Computing, . 2194-5357 ; ; 320