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Intro; Preface; Committees; Contents; About the Editors; 1 Moving Target Detection Under Turbulence Degraded Visible and Infrared Image Sequences; Abstract; 1 Introduction; 2 Proposed Algorithm; 3 Performance Evaluation Metrics; 4 Results and Comparison; 5 Conclusion and Future Work; References; Effective Denoising with Non-local Means Filter for Reliable Unwrapping of Digital Holographic Interferometric Fringes; 1 Introduction; 2 Methodology; 2.1 Preprocessing; 2.2 Non-local Means Filter; 2.3 NLM with Non-Euclidian Distance; 3 Experimental Results; 4 Conclusion; References
Iris Recognition Through Score-Level Fusion1 Introduction; 2 Preprocessing and Normalization; 3 Implementation of Used Approaches; 3.1 XOR-SUM Code; 3.2 BLPOC; 4 Score-Level Fusion; 5 Experimental Setup and Results; 6 Conclusions; References; 4 A Novel Pattern Matching Approach on the Use of Multi-variant Local Descriptor; Abstract; 1 Introduction; 2 Motivation; 3 Pattern Matching Methodology-The MVLBP Approach; 4 Evaluation; 4.1 Databases; 4.2 Experimental Results; 5 Conclusion; References; GUESS: Genetic Uses in Video Encryption with Secret Sharing; 1 Introduction; 2 Proposed Model
3 Experiment and Results3.1 Qualitative Analysis; 3.2 Quantitative Analysis; 3.3 Computational Complexity; 4 Conclusion; References; Learning-Based Fuzzy Fusion of Multiple Classifiers for Object-Oriented Classification of High Resolution Images; 1 Introduction; 2 Proposed Methodology; 2.1 Superpixel Generation; 2.2 Multiple Classifier Decisions; 2.3 Fuzzy Rank-Based Fusion; 3 Implementation; 3.1 Locations and Data sets; 3.2 Features; 3.3 Design Specification; 4 Results and Discussions; 5 Conclusion; References
Image Retrieval Using Random Forest-Based Semantic Similarity Measures and SURF-Based Visual Words1 Introduction; 2 Proposed Method; 2.1 Image Representation Using SURF-Based BoVW; 2.2 Random Forest-Based Training; 2.3 Random Forest-Based Semantic Similarity Measures; 3 Complexity Analysis; 4 Experimental Results; 5 Conclusion; References; Rotation Invariant Digit Recognition Using Convolutional Neural Network; 1 Introduction; 2 Proposed Method: RIMCNN; 2.1 Training; 2.2 Testing; 2.3 Selecting Number of LeNets and Rotation Angles; 2.4 Finding Approximate Orientation of the Digit
3 Experiments and Results3.1 Handwritten Digit Classification; 3.2 Captcha Recognition Using RIMCNN; 4 Conclusion; References; Stochastic Assimilation Technique for Cloud Motion Analysis; 1 Introduction; 2 Cloud Motion Estimation Using WETKF; 2.1 Initialization of State Vector; 2.2 Forecasting; 2.3 Correcting; 2.4 Particle Filter Weights and Re-sampling; 3 Experimental Results; 3.1 Particle Image Velocimetry (PIV) Images; 3.2 Satellite Images; 3.3 Validation; 4 Conclusion; References
Iris Recognition Through Score-Level Fusion1 Introduction; 2 Preprocessing and Normalization; 3 Implementation of Used Approaches; 3.1 XOR-SUM Code; 3.2 BLPOC; 4 Score-Level Fusion; 5 Experimental Setup and Results; 6 Conclusions; References; 4 A Novel Pattern Matching Approach on the Use of Multi-variant Local Descriptor; Abstract; 1 Introduction; 2 Motivation; 3 Pattern Matching Methodology-The MVLBP Approach; 4 Evaluation; 4.1 Databases; 4.2 Experimental Results; 5 Conclusion; References; GUESS: Genetic Uses in Video Encryption with Secret Sharing; 1 Introduction; 2 Proposed Model
3 Experiment and Results3.1 Qualitative Analysis; 3.2 Quantitative Analysis; 3.3 Computational Complexity; 4 Conclusion; References; Learning-Based Fuzzy Fusion of Multiple Classifiers for Object-Oriented Classification of High Resolution Images; 1 Introduction; 2 Proposed Methodology; 2.1 Superpixel Generation; 2.2 Multiple Classifier Decisions; 2.3 Fuzzy Rank-Based Fusion; 3 Implementation; 3.1 Locations and Data sets; 3.2 Features; 3.3 Design Specification; 4 Results and Discussions; 5 Conclusion; References
Image Retrieval Using Random Forest-Based Semantic Similarity Measures and SURF-Based Visual Words1 Introduction; 2 Proposed Method; 2.1 Image Representation Using SURF-Based BoVW; 2.2 Random Forest-Based Training; 2.3 Random Forest-Based Semantic Similarity Measures; 3 Complexity Analysis; 4 Experimental Results; 5 Conclusion; References; Rotation Invariant Digit Recognition Using Convolutional Neural Network; 1 Introduction; 2 Proposed Method: RIMCNN; 2.1 Training; 2.2 Testing; 2.3 Selecting Number of LeNets and Rotation Angles; 2.4 Finding Approximate Orientation of the Digit
3 Experiments and Results3.1 Handwritten Digit Classification; 3.2 Captcha Recognition Using RIMCNN; 4 Conclusion; References; Stochastic Assimilation Technique for Cloud Motion Analysis; 1 Introduction; 2 Cloud Motion Estimation Using WETKF; 2.1 Initialization of State Vector; 2.2 Forecasting; 2.3 Correcting; 2.4 Particle Filter Weights and Re-sampling; 3 Experimental Results; 3.1 Particle Image Velocimetry (PIV) Images; 3.2 Satellite Images; 3.3 Validation; 4 Conclusion; References