Proceedings of International Conference on Image, Vision and Intelligent Systems 2023 (ICIVIS 2023)

• Autore: You Peng
• Pubblicazione: Singapore : , : Springer, , 2024; ©2024
• Edizione: 1st ed.
• Descrizione fisica: 1 online resource (779 pages)
• Altri autori: LiuShuaiqi WangJun
• Nota di contenuto: Intro -- Preface -- Introduction -- Contents -- Image -- High Order Conditional Random Field Based Cervical Cancer Histopathological Image Classification -- 1 Introduction -- 2 Related Work -- 3 Conditional Random Field Module Construction -- 3.1 Data Preprocessing -- 3.2 Feature Extraction Method -- 3.3 Research on Classification Methods based on HOCRF -- 3.4 Structure of HOCRF -- 4 Experimental Results and Analysis -- 4.1 Dataset -- 4.2 Experimental Results and Analysis of Unary Potential, Binary Potential and High-Order Potential -- 4.3 Experimental Results and Analysis of High Order Conditional Random Fields -- 4.4 Classification Error Analysis -- 4.5 Classification Time -- 4.6 Visualization Analysis of High Order Conditional Random Field Model -- 5 Conclusion and Future Work -- References -- Skin Cancer Image Identification Using Deep Convolutional Neural Networks -- 1 Introduction -- 2 Related Work -- 3 Skin Cancer Identification Networks based on Deep Learning -- 3.1 Experimental Datasets -- 3.2 Data Preprocessing -- 3.3 Evaluation Method of Identification Result -- 3.4 Two Different Deep Convolutional Neural Networks -- 3.5 Advantages of ResNet-50 and Inception-V3 Networks -- 3.6 Evaluation Metrics for Deep Learning Network Performance -- 4 Experimental Results and Analysis -- 4.1 Dataset -- 4.2 Experiment Environment and Computer Configuration -- 4.3 Analysis of Experimental Results -- 5 Discussion -- 6 Conclusion and Future Work -- References -- Deep Learning-Based Prediction of Myelosuppression in Lymphoma Patients During Chemotherapy Using Multimodal Radiological Images with Subcutaneous Adipose Tissue -- 1 Introduction -- 2 Deep Learning-Based Prediction of Myelosuppression in Lymphoma Patients during Chemotherapy Using Multimodal Radiological Images with Subcutaneous Adipose Tissue -- 2.1 Data Preprocessing. ; 2.2 Deep Learning, Machine Learning and Clinical Diagnosis -- 2.3 Attention Mechanism -- 2.4 Classification Metrics -- 3 Experimental Results and Analysis -- 3.1 Databset -- 3.2 Experimental Environment -- 3.3 Analysis of Experimental Results -- 4 Conclusion and Future Work -- References -- Retrievable Image Encryption Based on Adaptive Block Compressed Sensing -- 1 Introduction -- 2 Related Work -- 2.1 Adaptive Block Compressive Sensing -- 2.2 Chen's Chaotic System -- 2.3 Hash Retrieval -- 3 The Main Method -- 3.1 Obtain the Fitted Curve -- 3.2 Compressed and Encrypt Images -- 3.3 Retrieve Images -- 3.4 Decrypting Reconstructed Images -- 4 Experimental Evaluation -- 5 Conclusion and Prospect -- References -- Research on Prostate Cancer Pathological Image Classification Method Based on Vision Transformer -- 1 Introduction -- 2 Related Work -- 2.1 Methods based on Handcrafted Features -- 2.2 Methods Based on Deep Features -- 3 Methods -- 3.1 Framework Overview -- 3.2 Image Preprocessing -- 3.3 Prostate Cancer Classification Based on Vision Transformer -- 3.4 Model Training and Optimization -- 4 Results -- 4.1 Database -- 4.2 Experimental Environment -- 4.3 Classification Accuracy -- 5 Discussion -- 6 Conclusion -- References -- Multi-disease Detection and Segmentation of Chest CT Images Based on Coarse-to-Fine Pipeline Models -- 1 Introduction -- 2 Related Word -- 3 Method -- 3.1 Framework Overview -- 3.2 Disease Detection Based on U-Net Based on Lightweight U-Net -- 3.3 Lesion Segmentation Based on Segment Anything Model -- 4 Results -- 4.1 Datasets -- 4.2 Metrics and Experimental Environment -- 4.3 Detection and Segmentation Results -- 5 Discussion -- 6 Conclusion -- References -- Dual Branch Image-Guided Network with Multi-stage Iterative Refinement for Depth Completion -- 1 Introduction -- 2 Methods -- 2.1 Network Architecture. ; 2.2 Coarse Depth Estimation Branch -- 2.3 Depth Refinement Branch -- 2.4 Loss Function -- 3 Experiments -- 3.1 Experimental Settings -- 3.2 Comparison Results -- 3.3 Ablation Studies -- 4 Conclusion -- References -- CT Images Super-Resolution Reconstruction Using Bi-level Routing Attention and Consecutive Dilated Convolutions -- 1 Introduction -- 2 Related Work -- 3 Network Design -- 3.1 Encoder -- 3.2 Decoders -- 4 Experimental Design and Result Analysis -- 4.1 Data Set Selection and Preprocessing -- 4.2 Parameter Selection -- 4.3 Image Quality Evaluation Criteria -- 4.4 Experimental Results and Analysis -- 5 Conclusion -- References -- ASPCD-UNet: An Improved Network for Change Detection -- 1 Introduction -- 2 Related Work -- 2.1 UNet -- 2.2 ShuffleNet Module -- 2.3 Spatial Attention Module and Channel Attention Module -- 2.4 Atrous Spatial Pyramid Pooling -- 3 Method -- 4 Experiments -- 4.1 Dataset and Evaluation Metrics -- 4.2 Implementation Details -- 4.3 Comparison and Analysis -- 5 Conclusion -- References -- SE-UNet: Channel Attention Based UNet for Water Body Segmentation from SAR Image -- 1 Introduction -- 2 Methodology -- 2.1 UNet Network -- 2.2 SE (Squeeze and Excitation) Module -- 2.3 SE-UNet -- 3 Experimental Results -- 3.1 Dataset -- 3.2 Network Training and Evaluation Metrics -- 3.3 Experimental Results -- 4 Conclusion -- References -- A Fine Segmentation Method for the Outer Boundary of Tire Image Steel Belt Based on Adaptive Thresholding Under Local Histogram Statistical Features -- 1 Introduction -- 2 Method -- 2.1 Pre-processing -- 2.2 Feature Extraction -- 2.3 Rule Setting -- 2.4 Smoothing Treatment -- 3 Experimental Results and Analysis -- 3.1 Experimental Details -- 3.2 Experimental Evaluation Metrics -- 3.3 Comparing Existing Algorithms -- 3.4 Ablation Test -- 3.5 Sensitivity Analysis -- 3.6 Visualization Experiments. ; 4 Conclusion -- References -- Night Scene Image Stitching and Image Recognition Based on Improved SIFT -- 1 Introduction -- 2 SIFT Algorithm -- 2.1 Scale-Space Extrema Detection -- 2.2 Keypoint Localization -- 2.3 Orientation Assignment -- 2.4 Keypoint Description -- 2.5 Keypoint Matching -- 3 Improved SIFT Splicing Algorithm -- 3.1 Smoothing of Images -- 3.2 RANSAC -- 3.3 Perspective Transform -- 4 YOLOv5 -- 5 Experiment and Analysis -- 5.1 Key Point Extraction Contrast -- 5.2 Image Mosaic Effect Experiment -- 5.3 Image Recognition -- 6 Conclusion -- References -- Optical Image Encryption Based on Chaotic Palmprint Phase Mask and Phase-Shifting Digital Holography -- 1 Introduction -- 2 The Proposed Encryption Method Based on CPPM and PSDH -- 2.1 The Generation Process of Chaotic Palmprint Phase Mask -- 2.2 The Procedure of Encryption -- 2.3 The Procedure of Decryption -- 3 Simulation Results and Analysis -- 3.1 The Feasibility Analysis -- 3.2 The Safety Analysis -- 3.3 The Robustness Analysis -- 4 Summary -- References -- Health Monitoring of Ultra-low Temperature Valves Based on Complex Shearlet Domain Dynamic Threshold -- 1 Introduction -- 2 Complex Shearlet Transform -- 3 Complex Shearlet Transform -- 4 Experimental Results and Analysis -- 5 Conclusion -- References -- Speckle Suppression Based on Contextual ConvNeXt Network -- 1 Introduction -- 2 ConvNeXt and Contextual Transformer -- 3 Proposed Method -- 3.1 Generator -- 3.2 Discriminator -- 4 Experimental Results -- 4.1 Experimental Set -- 4.2 Comparison Results -- 5 Conclusion -- References -- Mirror R-CNN: Object Detection with Flipped Image -- 1 Introduction -- 2 Related Works -- 3 Methodology -- 3.1 Mirror Processing Module -- 3.2 Confidence Selection Module -- 3.3 Loss Dynamic Weight -- 4 Experiments -- 4.1 Experiments on CrowdHuman -- 4.2 Experiments on COCO. ; 4.3 Experiments on Citypersons -- 4.4 Experiment on Time Consumption -- 4.5 Ablation Studies -- 4.6 Compatibility Studies -- 5 Conclusion -- References -- Research on Virtual Data Set Generation for Ship Target Recognition at Sea -- 1 Introduction -- 2 Related work -- 3 Experimental Principle -- 3.1 Large-Scale Ocean Scene Rendering -- 3.2 Automatic Annotation of Virtual Data -- 3.3 Establish a Virtual Data Set -- 3.4 Post-processing of Virtual Data Set -- 4 Experiment and Result Analysis -- 4.1 Model Evaluation Index -- 4.2 Experimental Setup and Process -- 5 Concluding Remarks -- References -- Design and Research of One-Piece Bionic Life Jacket Based on Virtual Reality Technology -- 1 Introduction -- 2 Development and Evolution of Life Jackets -- 2.1 Buoyancy Materials for Life Jackets -- 2.2 Life Jacket Structure -- 3 Innovative Design of One-Piece Bionic Life Jacket -- 3.1 The Experimental Process of One-Piece Bionic Life Jacket -- 3.2 Structural Analysis of One-Piece Bionic Life Jacket -- 4 Conclusion -- References -- An Object Detection and Segmentation Model-Based Shape Change Estimation Method for Wood Specimen -- 1 Background -- 2 Related Work -- 2.1 Object Detection Model -- 3 Methods -- 3.1 Theoretical Basis -- 3.2 Dataset Construction -- 3.3 Model Training -- 3.4 Numerical Estimation -- 4 Experiment -- 4.1 Experimental Setting -- 4.2 Results of Instance Segmentation -- 4.3 Results of Numerical Estimation -- 5 Conclusion -- References -- Encrypted Image Search Based on SGX and Hierarchical Index -- 1 Introduction -- 2 Preliminaries -- 2.1 CP-ABE -- 2.2 SGX -- 3 System and Security Model -- 3.1 System Model -- 3.2 Formal Definition -- 3.3 Security Model -- 4 Our Proposed Design -- 4.1 Key Generation -- 4.2 Index Generation -- 4.3 Token Generation -- 4.4 Search -- 5 Security Analysis -- 6 Experimental Evaluation -- 6.1 Experimental Setting. ; 6.2 Index Generation Cost.
• Titolo autorizzato: Proceedings of International Conference on Image, Vision and Intelligent Systems 2023 (ICIVIS 2023)
• ISBN: 981-9708-55-9
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910841866903321
• Lo trovi qui: Univ. Federico II
• Serie: Lecture Notes in Electrical Engineering Series