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ویرایش: [1st ed. 2022] نویسندگان: KC Santosh (editor), Ravindra Hegadi (editor), Umapada Pal (editor) سری: ISBN (شابک) : 3031070046, 9783031070044 ناشر: Springer سال نشر: 2022 تعداد صفحات: 412 [406] زبان: English فرمت فایل : PDF (درصورت درخواست کاربر به PDF، EPUB یا AZW3 تبدیل می شود) حجم فایل: 58 Mb
در صورت تبدیل فایل کتاب Recent Trends in Image Processing and Pattern Recognition: 4th International Conference, RTIP2R 2021, Msida, Malta, December 8-10, 2021, Revised ... in Computer and Information Science, 1576) به فرمت های PDF، EPUB، AZW3، MOBI و یا DJVU می توانید به پشتیبان اطلاع دهید تا فایل مورد نظر را تبدیل نمایند.
توجه داشته باشید کتاب روندهای اخیر در پردازش تصویر و شناسایی الگو: چهارمین کنفرانس بین المللی، RTIP2R 2021، Msida، مالت، 8-10 دسامبر 2021، بازبینی شده ... در علوم کامپیوتر و اطلاعات، 1576) نسخه زبان اصلی می باشد و کتاب ترجمه شده به فارسی نمی باشد. وبسایت اینترنشنال لایبرری ارائه دهنده کتاب های زبان اصلی می باشد و هیچ گونه کتاب ترجمه شده یا نوشته شده به فارسی را ارائه نمی دهد.
19 مقاله کامل و 14 مقاله کوتاه ارائه شده به دقت بررسی و از بین 84 مقاله ارسالی انتخاب شدند. مقالات در بخش های موضوعی زیر سازماندهی شده اند: مراقبت های بهداشتی: تصویربرداری پزشکی و انفورماتیک؛ بینایی کامپیوتری و تشخیص الگو؛ تجزیه و تحلیل و شناسایی اسناد؛ پردازش سیگنال و یادگیری ماشین؛ تصویربرداری ماهواره ای و سنجش از دور.
The 19 full papers and 14 short papers presented were carefully reviewed and selected from 84 submissions. The papers are organized in the following topical sections: healthcare: medical imaging and informatics; computer vision and pattern recognition; document analysis and recognition; signal processing and machine learning; satellite imaging and remote sensing.
Preface Organization Contents Healthcare: Medical Imaging and Informatics Cleaning Highly Unbalanced Multisource Image Dataset for Quality Control in Cervical Precancer Screening 1 Introduction 2 Image Data 3 Method 4 Experiments and Discussions 5 Conclusion and Future Work References Detection of Male Fertility Using AI-Driven Tools 1 Introduction 2 Related Works 3 Methods 3.1 Features Detailing 3.2 Feature Selection 3.3 Feature Selection 3.4 The Workflow of Proposed Model 4 Experiments 4.1 Data 4.2 Evaluation Protocols 4.3 Results 5 Conclusion References An Empirical Study of Vision Transformers for Cervical Precancer Detection 1 Introduction 2 Related Work 3 Experiments 3.1 Data Preparation 3.2 Architecture 3.3 Training Setup 4 Results and Discussions 5 Conclusion and Future Work References CheXNet for the Evidence of Covid-19 Using 2.3K Positive Chest X-rays 1 Introduction 2 Chest X-ray Dataset 3 CheXNet and Implementation 4 Experimental Results 4.1 Evaluation Protocol and Performance Metrics 4.2 Results Analysis 4.3 Comparative Study 5 Conclusion and Future Work References An Enhanced Deep Convolution Neural Network Model to Diagnose Alzheimer's Disease Using Brain Magnetic Resonance Imaging 1 Introduction 2 Proposed Methodology 2.1 Data Pre-processing 2.2 Deep CNN: Architecture and Implementation 2.3 Hyper Parameters in Deep CNN 3 Experiments 3.1 Dataset 3.2 Validation Protocol and Evaluation Metrics 3.3 Results and Discussion 4 Conclusion References Automatic Knee Osteoarthritis Stages Identification 1 Introduction 2 Literature Review 3 Methodology 3.1 Data Acquisition 3.2 Left and Right Knee Segmentation 3.3 ROI Detection 3.4 DNN-Based Classification System 4 Experimental Setup and Result Discussion 4.1 Comparison of OACnet with Other DNN-Based Models 5 Conclusion References Stacked Dark COVID-Net: A Multi-class Multi-label Classification Approach for Diagnosing COVID-19 Using Chest X-Ray Images 1 Introduction 2 Literature Review 3 Proposed Methodology 3.1 Image Processing 3.2 Layered DarkNet (LDN) 3.3 Novel Stacked Dark COVID-Net 4 Experimental Setup and Discussions 4.1 Experimental Setup 4.2 Dataset Description 5 Conclusions References Image Augmentation for Improving Automated Eligibility-Classification for Cervical Precancer Ablation Treatment 1 Introduction 2 Methods 2.1 Dataset and Annotation 2.2 CycleGan 2.3 Customized CNN 3 Experiments 3.1 Augmented Images 3.2 Treatability Classification Performance 3.3 Comparing the Visualization 4 Conclusion References Osteoarthritis Detection Using Densely Connected Neural Network 1 Introduction 2 Related Work 3 Architecture of Dense Net 4 Design of OA Detection and Classification Model 4.1 Input Image Acquisition 4.2 Pre-processing 4.3 Feature Extraction 4.4 Image Classification 5 Results and Discussion 6 Conclusion References Generic Foreign Object Detection in Chest X-rays 1 Introduction 2 Related Works 3 YOLOv4, Architecture and Implementation 4 Experiments 4.1 Dataset 4.2 Results and Analysis 5 Conclusions References Mammogram Mass Classification: A CNN-Based Technique Applied to Different Age Groups 1 Contribution Outline 1.1 Traditional Classifiers 1.2 CNN Architecture 2 Experiments 2.1 Dataset and Pre-processing 2.2 Age Grouping 2.3 Evaluation Metrics 2.4 Evaluation Strategy and System Configuration 2.5 Results and Analysis 2.6 Comparative Analysis with Previous Relevant Work 3 Conclusions and Future Work References Computer Vision and Pattern Recognition Complex Object Detection Using Light-Field Plenoptic Camera 1 Introduction 2 Plenoptic Camera Calibration 3 Methods 3.1 Feature Detection 3.2 Feature Matching 3.3 Transform Model Estimation 3.4 Results 3.5 Conclusions References Real-Time Face Recognition for Organisational Attendance Systems 1 Introduction 2 Literature Survey 3 Methodology 4 Experimental Results and Discussion 5 Conclusion References Harnessing Sustainable Development in Image Recognition Through No-Code AI Applications: A Comparative Analysis 1 Introduction 2 Literature Review 2.1 Previous Research 3 Methodology 3.1 Dataset 3.2 Hardware 3.3 Software 3.4 ResNet – 50 V2 3.5 MobileNetV2 4 Results 5 Discussion References Evaluating Performance of Adam Optimization by Proposing Energy Index 1 Introduction 2 Related Work 2.1 AdaGrad 2.2 AdaDelta 2.3 RMSProp 2.4 Adam 2.5 Energy Index Based Optimization Method (EIOM) 3 Introducing EI to Adam 4 Experiments and Analysis 4.1 Logistic Regression 4.2 Support Vector Machine 5 Conclusion and Future Direction References An Alignment-Free Fingerprint Template Protection Technique Based on Minutiae Triplets 1 Introduction 2 Literature Survey 3 Proposed Technique 3.1 Non-invertible Feature Extraction 3.2 Secured Template Generation 3.3 Security Enhancement of the Generated Template 3.4 Matching 4 Experimental Analysis 4.1 Revocability 4.2 Diversity 4.3 Security 4.4 Performance 5 Conclusion References Early Prediction of Complex Business Processes Using Association Rule Based Mining 1 Introduction 2 Related Work 3 Association Rule Mining 4 The CBA-Based Prediction Model 5 Experimental Results 5.1 Comparative Analysis 6 Conclusion References A Framework for Masked-Image Recognition System in COVID-19 Era 1 Introduction 1.1 Objectives 2 Literature Review 3 Problem Formulation 4 Proposed Solutions 4.1 Programming Languages and Tools 4.2 Web Application Frameworks 4.3 Computer Vision Frameworks 4.4 Algorithms 4.5 Approaches 5 Specification and Design 5.1 System Requirements 5.2 Principle System Components and Requirements 6 Implementations and Result Analysis 6.1 Home Component 6.2 Camera Component 6.3 Login Component 6.4 Profile Component 6.5 Results Analysis 7 Conclusions and Future Work References A Deep-Learning Based Automated COVID-19 Physical Distance Measurement System Using Surveillance Video 1 Introduction 2 Related Works 3 Proposed Method 3.1 Human Detection 3.2 Human Tracking 3.3 Distance Measurement 4 Experimental Results and Discussions 4.1 Dataset and Training Details 4.2 Results and Discussions 5 Conclusion References Face Mask Detection Using Deep Hybrid Network Architectures 1 Introduction and Problem Understanding 2 Related Works 3 Dataset and Data Preprocessing 3.1 Data Description 3.2 Resizing 4 Description of the Network Architectures and Machine Learning Algorithms 4.1 ResNet50 4.2 VGG16 4.3 Support Vector Machines 4.4 GBDecision Trees 4.5 Neural Networks 4.6 Hybrid Models 5 Proposed Model: ResNet50 + SVM 6 Results and Discussion 7 Conclusion References A Super Feature Transform for Small-Size Image Forgery Detection 1 Introduction 2 Related Works and Problem Context 2.1 Preliminaries of Super Resolution Algorithms 2.2 Review of Forgery Detection Algorithms 3 Proposed Detection Model 3.1 Super Feature Transform (SFT) 3.2 Feature Filtering and Forged Region Localization 4 Experimentation and Analysis 4.1 Evaluation of Super Feature Transform 4.2 Detection Results with Post-processing Actions 5 Conclusion References Document Analysis and Recognition UHTelHwCC: A Dataset for Telugu Off-line Handwritten Character Recognition 1 Introduction 2 Related Work 3 UHTelHwCC Creation 4 UHTelHwCC Characteristics 4.1 Sample Distribution 4.2 Data Splits 4.3 Writers Details 5 Experiments 6 Conclusion References Inflectional and Derivational Hybrid Stemmer for Sentiment Analysis: A Case Study with Marathi Tweets 1 Introduction 2 Related Work 3 Marathi Morphology 4 Marathi Stemming Algorithm 4.1 Data Collection 4.2 Cleaning 4.3 Stop Word Removal 4.4 Marathi Subjective Lexicon (Adjective-Adverb) 4.5 Stemming 5 Experiments and Results 5.1 Performance of the Stemmer 5.2 Tweet Classification and Stemmer Validation 5.3 Comparison with Existing Marathi Stemmers 6 Conclusion References Adaptive Threshold-Based Database Preparation Method for Handwritten Image Classification 1 Introduction 2 Related Works 3 Methodology 3.1 Deep Neural Network 3.2 Feature Extraction with Adaptive Threshold 3.3 Classification and Recognition 4 Experimental Setup and Evaluation Protocol 4.1 Dataset and Pre-processing 4.2 Evolution Protocol 5 Conclusion and Future Scope References A Graph-Based Holistic Recognition of Handwritten Devanagari Words: An Approach Based on Spectral Graph Embedding 1 Introduction 2 Proposed Model 2.1 Pre-processing 2.2 Proposed Graph Extraction/Representation 2.3 Edge Connecting, Labelling and Selection of Graph Associated Matrices 2.4 Spectral Decomposition of Word Graph Associated Matrices 3 Adequacy of the Features 4 Experimentation 4.1 Dataset 4.2 Experimental Setup 4.3 Experimental Results 5 Comparative Analysis 6 Conclusion and Future Work References Signal Processing and Machine Learning Imagined Object Recognition Using EEG-Based Neurological Brain Signals 1 Introduction 2 Proposed Methodology 2.1 Signal Preprocessing 2.2 Feature Extraction 2.3 Random Forest (RF) 3 Experiments and Results 3.1 Dataset Description and Experiment Protocol 3.2 Experimental Results 4 Conclusion and Future Scope References A Fast and Efficient K-Nearest Neighbor Classifier Using a Convex Envelope 1 Introduction 2 Related Work 3 Method 4 Experiments 4.1 Data Collections 4.2 Experimental System 4.3 Results 5 Conclusion References Single Channel Speech Enhancement Using Masking Based on Sinusoidal Modeling 1 Introduction 2 Signal Model and Notation 3 Sinusoidal Model Based Speech Enhancement 3.1 Finding of Peaks of the Power Spectrum 3.2 Peak Matching Algorithm 3.3 Wiener Filter Gain Function 3.4 Synthesis System 4 Results and Discussion 5 Conclusion References Extraction of Temporal Features on Fibonacci Space for Audio Based Vehicle Classification 1 Introduction 2 Feature Extraction 2.1 Fibonacci Series 3 Preprocessing: Segmentation and Windowing 3.1 Algorithm 3.2 Skewness 3.3 Kurtosis 3.4 Entropy 4 Results and Discussion 4.1 Database Used 4.2 Convolution Neural Network (CNN) 4.3 Performance Analysis 5 Conclusion References An Improved Technique for Preliminary Diagnosis of COVID-19 via Cough Audio Analysis 1 Introduction 2 Background 2.1 Laboratory-Based Testing 2.2 Radiography Testing 2.3 Cough-Based Testing 3 Methodology 3.1 Proposed Architecture 3.2 COVID-19 Cough Dataset 3.3 Data Augmentation 3.4 Feature Extraction 4 Model Architecture 4.1 Multilayer Perceptron 4.2 Convolutional Neural Networks 4.3 Recurrent Neural Networks with Long Short-Term Memory 4.4 Support Vector Machines 5 Results 5.1 Accuracy 5.2 Precision 5.3 Recall 6 Conclusion A Appendix A.1 Softmax A.2 ReLU References Satellite Imaging and Remote Sensing Agricultural Field Analysis Using Satellite Hyperspectral Data and Autoencoder 1 Introduction 2 Related Work 3 Proposed Methodology 3.1 Dataset Preparation 3.2 Feature Extraction 3.3 Clustering 3.4 Classification 4 Results 5 Conclusion 6 Future Work References Development of NDVI Prediction Model Using Artificial Neural Networks 1 Introduction 2 Literature Survey 3 Study Area 4 Dataset 5 Methodology 5.1 Preprocessing 5.2 Normalised Difference Vegetation Index (NDVI) 5.3 Raster to Point Module 5.4 Grid of Tiles Module 5.5 Point Clipping Module 5.6 Data Cleaning Module 5.7 Architecture of the ANN 5.8 Vegetation Cover Prediction Module Using MATLAB 5.9 Data Post-processing Module 5.10 Predicted Points Module 5.11 Point of Raster 5.12 Predicted Map 6 Result and Discussions 7 Conclusions References Time Series Forecasting of Soil Moisture Using Satellite Images 1 Introduction 2 Literature Review 3 Methodology 3.1 Hardware Setup 3.2 The Proposed Pipeline 3.3 Dataset Overview 3.4 Data Preprocessing 3.5 Dimensionality Reduction 3.6 Time Series Forecasting 4 Results 4.1 Evaluation Metrics 4.2 Comparative Analysis of AutoEncoders and PCA for Dimensionality Reduction 4.3 Comparative Analysis of Different LSTM Architectures for Forecasting 5 Conclusions and Future Scope References Author Index