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[null,null,"Titolo",null,"Computer vision and image processing : 5th international conference, CVIP 2020, Prayagraj, India, December 4-6, 2020, revised selected papers, part I / / Satish Kumar Singh [and three others] (editors)"]
[null,null,"Pubbl/distr/stampa",null,"Singapore : , : Springer, , [2021]"]
[{"$nulls":4},"©2021"]
[null,null,"ISBN",null,"981-16-1086-X"]
[null,null,"Descrizione fisica",null,"1 online resource (537 pages)"]
[null,null,"Collana",null,"Communications in Computer and Information Science ; ; v.1376"]
[null,null,"Disciplina",null,"006.37"]
[null,null,"Soggetti",null,"Computer vision"]
[{"$nulls":4},"Image processing - Digital techniques"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,"Nota di contenuto",null,"Intro -- Preface -- Organization -- Contents - Part I -- Contents - Part II -- Contents - Part III -- An Approach for Fraction of Vegetation Cover Estimation in Forest Above-Ground Biomass Assessment Using Sentinel-2 Images -- 1 Introduction -- 2 Study Area and Datasets -- 2.1 Study Area -- 2.2 Datasets -- 3 Proposed Method -- 4 Results and Discussion -- 5 Conclusion -- References -- Dynamic Multimodal Biometric System -- 1 Introduction -- 2 Proposed Dynamic Multimodal Biometric System -- 3 Conclusion -- References -- Copy-Move Image Forgery Detection Using Spatio-Structured SIFT Algorithm -- 1 Introduction -- 2 SIFT Based Copy-Move Forgery Detection Methods -- 3 Proposed Method -- 3.1 Feature Matching -- 4 Result and Analysis -- 5 Conclusion -- References -- F-UNet: A Modified U-Net Architecture for Segmentation of Stroke Lesion -- 1 Introduction -- 2 Related Works -- 3 Proposed Methodology -- 3.1 Feature Extraction Using the Proposed F-UNet -- 3.2 Loss Function -- 3.3 Implementation -- 4 Results and Discussions -- 4.1 Comparison with State-of-the-Art Results -- 4.2 Loss Validation -- 5 Conclusion and Future Work -- References -- Radial Cumulative Frequency Distribution: A New Imaging Signature to Detect Chromosomal Arms 1p/19q Co-deletion Status in Glioma -- 1 Introduction -- 2 Proposed Methodology -- 2.1 Radial Cumulative Frequency Distribution (RCFD) -- 2.2 Feature Extraction -- 2.3 RUSBoost Classification -- 3 Results -- 3.1 Dataset -- 3.2 More Consistency in Dominant Orientation of Tissue Alignment "]
[{"$nulls":4},"Across Slices of Mutant Class Compared to Wildtype -- 4 Discussion -- 5 Conclusion -- References -- CT Scan Transformation from a Sharp to a Soft Reconstruction Kernel Using Filtering Techniques -- 1 Introduction -- 1.1 Related Works -- 2 Materials and Methods -- 2.1 The Dataset -- 2.2 Denoising Filters -- 2.3 Evaluation -- 3 Results -- 4 Summary."]
[{"$nulls":4},"References -- Development of an Automated Monitoring and Warning System for Landslide Prone Sites -- 1 Introduction -- 1.1 Traditional Techniques for Detection of Landslides -- 1.2 Drawbacks of Traditional Techniques for Landslide Detection and Advantages of the Proposed Approach -- 2 The Proposed Methodology and Results -- 2.1 The Proposed Approach and Its Implementation -- 2.2 Comparison of Performance on Three Different Hardware Platforms -- 3 Conclusion and Future Scope of Study -- References -- Deep Neural Network for Pneumonia Detection Using Chest X-Rays -- 1 Introduction -- 2 Dataset -- 3 Deep Neural Network: Custom CNN -- 4 Handcrafted Features -- 5 Results and Analysis -- 5.1 Comparative Study -- 6 Conclusion -- References -- Handwriting Recognition on Filled-in Forms Using CNN -- 1 Introduction -- 2 Related Work -- 3 Data and Methodology -- 3.1 Dataset -- 3.2 Proposed Method -- 3.3 Handwriting Recognition System -- 3.4 Performance Evaluation -- 4 Results and Discussion -- 5 Conclusion and Future Work -- References -- A Two Side Histogram Shifting Based Reversible Data Hiding Technique in Encrypted Images -- 1 Introduction -- 2 Related Work -- 3 Proposed Scheme -- 3.1 Encryption -- 3.2 Data Embedding Procedure -- 3.3 Extraction and Recovery of Original Image -- 4 Discussion and Experimental Results -- 5 Comparison -- 6 Conclusion -- References -- Security of Digital Images Based on Stream Cipher and MDS Matrix -- 1 Introduction -- 2 Related Works -- 3 Preliminaries -- 3.1 Stream Cipher -- 3.2 RC4 Stream Cipher -- 4 RC4A Stream Cipher -- 4.1 RC4A Algorithm -- 5 Flowchart of the Proposed Method -- 5.1 Key Expansion -- 5.2 Generation of AES S-box -- 5.3 Permutation Stage -- 5.4 Diffusion Stage -- 5.5 Substitution Stage -- 6 Simulation Results and Security Assessment -- 6.1 Key Space Analysis -- 6.2 Key Sensitivity Analysis."]
[{"$nulls":4},"6.3 Histogram Analysis -- 6.4 Entropy Analysis -- 6.5 NPCR and UACI Tests -- 7 Conclusion -- References -- Retinal Vessel Segmentation Using Joint Relative Entropy Thresholding on Bowler Hat Transform -- 1 Introduction -- 2 Suggested Technique -- 2.1 Image Enhancement Using Bowler-Hat Transform -- 2.2 Vessel Extraction Based on Matched Filter -- 2.3 Generation of GLCM -- 2.4 Segmentation Using JRE Thresholding -- 2.5 Post-processing of Segmented Image -- 3 Result Analysis -- 3.1 Qualitative Analysis -- 3.2 Quantitative Analysis -- 4 Conclusion -- References -- Semantic Segmentation of Nuclei from Breast Histopathological Images by Incorporating Attention in U-Net -- 1 Introduction -- 2 Related Works -- 2.1 Traditional Methods -- 2.2 CNN Based Methods -- 3 Methodology -- 3.1 Pre-processing: Colour Normalization -- 3.2 Semantic Segmentation: Modified U-Net -- 4 Results and Discussion -- 4.1 Dataset -- 4.2 Selection of Filter Size for the Proposed Model -- 4.3 Effect of Dataset Size on Semantic Segmentation -- 4.4 Comparison with U-Net -- 5 Conclusion -- References -- Automated Diagnosis of COVID-19 from CT Scans Based on Concatenation of Mobilenetv2 and ResNet50 Features -- 1 Introduction -- 2 Database and Performance Evaluation Measures -- 2.1 COVID Dataset Description -- 3 Proposed Methodology -- 3.1 Mobilenetv2 -- 3.2 ResNet50 -- 3.3 Proposed Feature Fusion Mechanism -- 4 Results -- 4.1 Experimental Settings -- 4.2 Results -- 5 Discussion -- 6 Conclusion -- References -- An Ensemble Method "]
[{"$nulls":4},"for Efficient Classification of Skin Lesion from Dermoscopy Image -- 1 Introduction -- 2 Proposed Methodology -- 2.1 Dataset -- 2.2 Data Pre-processing -- 2.3 Data Augmentation -- 2.4 Proposed Architecture -- 3 Experimental Details -- 3.1 Experimental Setup -- 3.2 Evaluation Metrics -- 3.3 Experimental Results -- 4 Discussion and Conclusions -- References."]
[{"$nulls":4},"A Two-Phase Splitting Approach for the Removal of Gaussian-Impulse Noise from Hyperspectral Images -- 1 Introduction -- 2 HSI Degradation Model and Objective -- 3 Proposed Denoising Framework -- 4 Experiments and Discussion -- 4.1 Results on Synthetic Data -- 4.2 Results on Real Data -- 5 Conclusion -- References -- Enhancement of Deep Learning in Image Classification Performance Using VGG16 with Swish Activation Function for Breast Cancer Detection -- 1 Introduction -- 2 Related Works -- 3 Proposed Methodology -- 3.1 Preprocessing and Augmentation of Dataset -- 3.2 Modified VGG16 Model with Swish Activation Function -- 4 Experimental Results and Discussion -- 5 Conclusions and Future Scope -- References -- Multi-stream CNN for Face Anti-spoofing Using Color Space Analysis -- 1 Introduction -- 2 Related Work -- 3 Proposed Approach -- 3.1 Preprocessing -- 3.2 Color Space Analysis -- 3.3 Patch Generation -- 3.4 Feature Extraction and Classification -- 4 Evaluation -- 4.1 Datasets -- 4.2 Results and Discussion -- 5 Conclusion -- References -- Multi-focus Fusion Using Image Matting and Geometric Mean of DCT-Variance -- 1 Introduction -- 2 Preliminaries -- 2.1 Image Matting in Multi-focus Fusion -- 2.2 Variance as Focus Measure -- 3 Proposed Algorithm -- 3.1 Generation of Focus Maps -- 3.2 Trimap Generation -- 3.3 Fusion Using Matting -- 4 Experimental Results and Discussion -- 4.1 Experimental Setup -- 4.2 Subjective Evaluation -- 4.3 Performance on Artificial Source Images -- 5 Conclusion -- References -- Deep Learning Based Lens for Mitigating Hospital Acquired Infections -- 1 Introduction -- 2 Methodology -- 2.1 Database Creation -- 2.2 Pre-processing Dataset -- 2.3 Training of Dataset Using VGG16 - LSTM Architecture -- 2.4 Classification of HWP Steps -- 2.5 Performance Evaluation Parameter -- 3 Experimental Results -- 3.1 Evaluation of Model."]
[{"$nulls":4},"4 Discussion and Conclusion -- References -- Edge Detection on Medical Images Using Intuitionistic Fuzzy Logic -- 1 Introduction -- 2 Related Work -- 2.1 Literature Review of Divergence Measure -- 3 Proposed Divergence Measure -- 3.1 Chaira Method and Its Drawbacks -- 3.2 The Newly Proposed Distance Measure -- 3.3 Axioms -- 3.4 Steps for Edge Detection -- 4 Results and Discussion -- 4.1 Comparison Between Proposed Method and Other Methods -- 5 Conclusion -- References -- Border to Border Distance Based Method for Detecting Juxta-Pleural Nodules -- 1 Introduction -- 2 Literature Survey -- 3 Proposed Methodology -- 3.1 Border to Border Distance Based Juxta-Pleural Nodule Detection Method to Identify the Juxta-Pleural Nodules -- 3.2 Computation of Difference -- 4 Results and Discussion -- 4.1 Datasets Used -- 4.2 Step by Step Results on Processing of 2D Image Slices -- 5 Conclusion -- References -- Appearance-Invariant Entry-Exit Matching Using Visual Soft Biometric Traits -- 1 Introduction -- 1.1 Relevance of the Problem -- 1.2 Motivations and Contributions -- 2 Statement of the Problem -- 3 Proposed Model -- 3.1 Feature Representation -- 3.2 Matching -- 4 Experiments and Discussions -- 4.1 Experimental Setup -- 4.2 Discussion -- 5 Conclusion -- References -- A Nonlocal Spatial Coherent Fuzzy C-Means Clustering for Bias Field Correction in Brain MR Images -- 1 Introduction -- 2 Related Methods -- 3 Proposed Methodology -- 4 Results and Discussion -- 5 Conclusion -- "]
[{"$nulls":4},"References -- Securing Biometric Data over Cloud via Shamir's Secret Sharing -- 1 Introduction -- 1.1 Contributions -- 2 Related Work -- 3 Shamir's Secret Sharing -- 4 Methodology -- 4.1 Share Generation -- 4.2 Image Filtering -- 4.3 Image Reconstruction -- 4.4 Similarity Score -- 5 Experimental Results and Analysis -- 5.1 Share Analysis -- 5.2 Performance Analysis -- 6 Conclusion."]
[{"$nulls":4},"References."]