Second International Conference on Image Processing and Capsule Networks : Icipcn 2021

• Record Nr.: UNINA9910502615603321
• Autore: Chen Joy Iong-zong
• Pubbl/distr/stampa: Cham : , : Springer International Publishing AG, , 2021; ©2022
• ISBN: 3-030-84760-8
• Descrizione fisica: 1 online resource (840 pages)
• Collana: Lecture Notes in Networks and Systems Ser. ; ; v.300
• Altri autori (Persone): TavaresJoão Manuel R. S; IliyasuAbdullah M; DuKe-Lin
• Soggetti: Electronic books.
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Nota di contenuto: Intro -- Foreword -- Preface -- Acknowledgments -- Contents -- A Survey of Machine Learning Techniques Applied for Automatic Traffic Light Recognition -- 1 Introduction -- 2 Major Challenges in Traffic Light Recognition -- 3 Traffic Light Recognition System -- 3.1 Dataset/Data Acquisition -- 3.2 Pre-processing -- 3.3 Localization -- 3.4 Feature Extraction Using Color and Shape -- 3.5 Verification -- 4 Discussion -- 5 Conclusion and Future Work -- 5.1 Concluding Remarks -- 5.2 Research Gaps and Future Work -- References -- Machine Learning Based Detection and Classification of Heart Abnormalities -- 1 Introduction -- 2 Methodology -- 2.1 Proposed Algorıthm for Detectıon and Classıfıcatıon of Abnormalıty -- 3 Results and Discussions -- 4 Conclusions -- References -- An Evaluation of Multiclass Leaf Classification Using Transfer Learning Techniques -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Residual Network (ResNet152) -- 3.2 MobileNet -- 3.3 Inception V3 -- 3.4 DenseNet201 -- 4 Experimental Analysis and Result -- 4.1 Data -- 4.2 Implementation -- 5 Discussion -- 6 Conclusion -- References -- Scene Generated with Text Guidance (VAAB System) -- 1 Introduction -- 2 Literature Survey -- 3 Architectural Details -- 3.1 Android Application -- 3.2 Refined Novel GAN -- 4 Experimental Details -- 4.1 How to Evaluate GANs? -- 4.2 Implementation -- 4.3 Comparision ; with the Avant-Garde Approaches -- 5 Implementation Necessities -- 5.1 Need of POS Tagging -- 5.2 Effectiveness of Affine Combination Module -- 5.3 Effectiveness of Refined Multi-stage Architecture -- 5.4 Effectiveness of Structure Loss -- 6 Conclusion -- References -- Machine Learning Approaches for Image Quality Improvement -- 1 Introduction -- 1.1 Noise Model for Magnetic Resonance (MR) Images -- 1.2 Magnetic Resonance Imaging (MRI) -- 2 Literature Review.; 3 Results and Discussions -- 3.1 Performance Factors -- 4 Conclusion -- References -- Natural Disaster Prediction by Using Image Based Deep Learning and Machine Learning -- 1 Introduction -- 2 Literature Survey -- 3 Tools and Technology for Data Collection -- 4 Proposed Predictive Model -- 5 Conclusion -- References -- A Novel Multi-objective Differential Evolution Algorithm for Clustering Data Streams -- 1 Introduction -- 2 Background -- 2.1 Data Clustering -- 2.2 Data Stream Mining Framework -- 2.3 Traditional Versus Data Stream Clustering Methods -- 3 Proposed Method: Multi-objective Based Clustering -- 3.1 Automatic Clustering by Elitism Based Multi-objective DE -- 3.2 Objective Functions Formulation -- 3.3 Population Representation and Initialization -- 3.4 Algorithm for AC-EMODE Clustering -- 4 Experimental Results -- 4.1 Datasets Used -- 4.2 Measures of Assessment -- 5 Conclusion and Future Scope -- References -- An Algorithm for Pre-processing of Areca Nut for Quality Classification -- 1 Introduction -- 2 Image Acquisition -- 3 Image Pre-processing -- 3.1 Contrast Enhancement -- 3.2 Image Filtering -- 3.3 Image Segmentation -- 3.4 Canny Edge Detection(CED) -- 3.5 Image Cropping -- 4 Results and Analysis -- 5 Conclusion -- References -- An Effect of Binarization on Handwritten Digits Recognition by Hierarchical Neural Networks -- 1 Introduction -- 2 Architecture of Convolutional Neural Network -- 3 Binarization of Images -- 3.1 Global Binarization -- 3.2 Local Binarization -- 3.3 Feature Extraction Method -- 3.4 Neural Network Performance -- 4 Hierarchical Neural Networks -- 5 Conclusion -- References -- Deep Convolutional Neural Networks (CNNs) to Detect Abnormality in Musculoskeletal Radiographs -- 1 Introduction -- 2 Related Works -- 2.1 Methodology Adopted -- 2.2 Dataset Details -- 2.3 Data Preprocessing -- 2.4 Models -- 2.5 Results.; 2.6 Conclusion and Scope of Improvement -- References -- Geospatial Object Detection for Scene Understanding Using Remote Sensing Images -- 1 Introduction -- 2 Machine Learning (ML) Based -- 3 Deep Learning (DL) Based -- 3.1 Convolution Neural Networks (CNN) -- 3.2 Transfer Learning -- 3.3 Domain Adaption -- 3.4 Metric Learning -- 4 Other Techniques -- 4.1 Object-Based Image Analysis (OBIA) -- 4.2 You Only Look Once (YOLO) -- 5 Conclusion -- References -- Antıspoofing Detection System for Online Classes and Online Meeting -- 1 Introduction -- 2 Background -- 3 Proposed Method -- 4 Results and Discussion -- 4.1 Stage I Verification -- 4.2 Stage II Verification -- 5 Conclusion -- References -- Pre-processing Block Hardware Architecture in Image Processing Using Reconfigurable Platform -- 1 Introduction -- 2 Pre Processing Blocks in Image Processing -- 3 Pre Processing Block Hardware Architecture -- 4 Pre-procesing Block Memory -- 4.1 Write Mode -- 4.2 Read Mode -- 4.3 Additional User Choice -- 5 Experimental Evaluation Over Reconfigurable Platform -- 5.1 Convolution -- 5.2 Read and Write Mode Results -- 6 Conclusion -- References -- Deep Learning Approach to Classify Road Traffic Sign Images -- 1 Introduction -- 2 Related Work -- 3 Dataset Used -- 4 Methodology -- 4.1 Convolutional Neural Network Architecture -- 4.2 Data Augmentation -- 4.3 Batch Normalization -- 4.4 Dropout -- 5 Results -- 6 Conclusion -- 7 Future Scope -- References -- ; Performance Analysis of Medical Image Denoising Techniques -- 1 Introduction -- 2 Source and Corruption of Medical Image -- 2.1 Gaussian Noise -- 2.2 Speckle Noise -- 3 Noise Reduction Techniques -- 3.1 Median Filter -- 3.2 Adaptive Median Filter -- 3.3 Mean Filter -- 3.4 Fuzzy Filter -- 3.5 Wiener Filter -- 3.6 Speckle Reduction Anisotropic Diffusion Filter -- 4 Results and Discussions -- 5 Conclusion.; 6 Future Scope -- References -- Optimal Sizing and Placement of Multiple DGs in Distribution Network to Reduce Total Loss Using Cuckoo Search Optimization -- 1 Introduction -- 2 Methodology -- 3 Cuckoo Search (CS) Optımısatıon Technique -- 4 Result and Dıscussıon -- 5 Conclusion -- References -- Integrating Virtual Reality with 3D Modeling for Interactive Architectural Visualization and Photorealistic Simulation: A Direction for Future Smart Construction Design Using a Game Engine -- 1 Introduction -- 2 Background -- 2.1 Virtual Reality for Architecture -- 2.2 Unreal Engine for Architecture -- 3 Related Literature -- 4 Methodology -- 4.1 Phase I - Plan and Design -- 4.2 Phase II - Assets and Lighting -- 4.3 Phase III - Rendering -- 5 Results and Discussions -- 6 Conclusion -- References -- LBPX: A Novel Feature Extraction Method for Iris Recognition -- 1 Introduction -- 2 System Description -- 3 Literature Review -- 4 Methodology -- 5 Experimental Results -- 6 Conclusion -- References -- Multi-features Based Multi-layer Perceptron for Facial Expression Recognition System -- 1 Introduction -- 2 Literature Survey -- 3 Proposed Methodology -- 3.1 Multi-feature Extraction -- 3.2 Multi-layer Perceptron (MLP) Classifier -- 4 Experimental Evaluation -- 4.1 Outcomes and Discussion -- 5 Conclusion -- References -- Reducing DFT Leakage in Speech Recognition Using Pitch Segmentation -- 1 Introduction -- 2 DFT Leakage -- 2.1 Non-spectral Leakage -- 2.2 Spectral Leakage -- 3 Pitch Based Speech Segmentation -- 3.1 Short-Time Energy Waveform -- 4 Experiment -- 5 Conclusion -- References -- Musical Instrument Sound Classification Using GoogleNet with SVM and kNN Model -- 1 Introduction -- 2 Literature Review -- 3 Feature Extraction -- 3.1 Pre-trained Convolution Neural Networks -- 3.2 GoogleNet -- 4 Classifiers -- 4.1 Support Vector Machine -- 4.2 K-Nearest Neighbor.; 5 Proposed Work -- 6 Performance Measures -- 7 Experimental Results -- 7.1 Dataset -- 7.2 MISC Using GoogleNet with SVM -- 7.3 MISC Using GoogleNet with kNN -- 8 Comparative Result Analysis -- 9 Conclusion -- References -- Classification of Stages of Thyroid Nodules in Ultrasound Images Using Transfer Learning Methods -- 1 Introduction -- 2 Related Work -- 3 Image Database -- 4 Methodology -- 4.1 Convolutional Neural Network -- 4.2 Transfer Learning -- 5 Results and Outcomes -- 6 Conclusion -- References -- A Monadic and Effective Frame Work for Single Human Pose Estimation of 2D Images and Videos -- 1 Introduction -- 2 Literature Review -- 2.1 Models for Human Body Pose Estimation -- 2.2 Primary Techniques for Pose Estimation -- 2.3 Single 2D Pose Estimation -- 2.4 Deep Learning Methods for Pose Estimation -- 3 Proposed Work -- 3.1 MonadicPose Architecture -- 3.2 Algorithm for Single Pose Estimation of Image/Video -- 4 Data Sets -- 5 Experiments and Results Comparisons -- 5.1 Metrics -- 5.2 Results -- 6 Conclusion -- References -- A Review on Fruit Detection and Segmentation Techniques in Agricultural Field -- 1 Introduction -- 2 Motivation -- 3 Background -- 4 Concepts of Detection and Segmentation -- 4.1 Object Detection -- 4.2 Image Segmentation -- 5 Methodology Used for Fruit Detection and Segmentation -- 6 Results and Discussions -- 7 Conclusion -- 8 Challenges and Future Scope -- References -- ; A Survey on Anomaly Detection Strategies -- 1 Introduction -- 2 Overview of Anomaly Detection -- 3 Detailed Study of Anomaly Detection Techniques -- 3.1 Unsupervised Methods -- 3.2 Supervised Methods -- 3.3 Semi-supervised Methods -- 3.4 Others -- 4 Observations -- 5 Conclusion -- References -- Biometric Authentication Based Smart Bank Locker Security System -- 1 Introduction -- 2 Related Work -- 3 Proposed System -- 4 Experimental Verification.; 5 Conclusion and Future Work.