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Intelligent Imaging and Analysis

Imaging and analysis are widely involved in various research fields, including biomedical applications, medical imaging and diagnosis, computer vision, autonomous driving, and robot controls. Imaging and analysis are now facing big changes regarding intelligence, due to the breakthroughs of artifici...

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Bibliographic Details
Main Author:	Hwang, Dosik
Other Authors:	Kim, DaeEun
Format:	eBook
Language:	English
Published:	MDPI - Multidisciplinary Digital Publishing Institute 2020
Subjects:	Machine Learning Human Parsing Computer-aided Design Motion Deburring Convolutional Kernel Parameter Nuss Procedure Signed Pressure Force Function Pre-training Strategy Computer-aided Manufacturing Joint Training Model Segnet Deep Learning Point Cloud Registration Super-resolution Residual Block Wear Measurement Local Correlation Deviation Of Strabismus Multimodal Medical Image Registration Adaptive Evaluation Window Pectus Excavatum Pca Pupil Localization Reverse Engineering Road Scenes Pixel Extraction Gradient Detection Fault Pattern Learning Additional Learning Self-intersection Penalty Term Crf Regularization Contrast Saliency Detection Image Analysis Vertebral Body Threshold Selection Sharpness Image Inspection Convolutional Neural Networks Cavitation Bubble Long-term And Short-term Memory Blocks High Dynamic Range Segmentation Geological Structure Images Automated Cover Tests Face Sketch Synthesis Colorfulness Defect Segmentation Synthetic Aperture Radar (sar) Mr Spine Image Computer Vision Image Processing Patient-specific Nuss Bar Capacity Optimization Image Classification Midsagittal Plane Extraction Oil Slicks Defect Inspection Mesh Parameterization Water Hydraulic Valve Surface Defect Of Steel Sheet Three-dimensional Imaging Greedy Projection Triangulation 3d Semantic Mapping Weighted Kernel Density Estimation (wkde) Machine Vision Active Contour Model Classification Methods Misalignment Correction In Mri Automatic Training Image Denoising 3d Pose Estimation Symmetry Detection Sparse Feedback Spatial Information N/a Graph-based Segmentation Medical Image Registration Grey Level Co-occurrence Matrix Googlenet Image Adjustment Iterative Closest Points Intelligent Evaluation History Of Engineering And Technology / Bicssc Rail Surface Defect Gray Stretch Maximum Entropy Shape From Focus Image Enhancement Image Alignment In Medical Images Minimally Invasive Surgery Optimization Arrangement Inception-v3 Incrementally Probabilistic Fusion Ct Image Feature Extraction Mesh Partitioning Texture Mapping Pl-slam Image Retrieval Underwater Visual Localization Method Normal Distribution Operator Image Filtering Transfer Learning Semi-automatic Segmentation Correlation Sprocket Teeth Computerized Numerical Control Bending Machine Image Restoration Data Imbalance Opencv Fine Grain Segmentation Computational Efficiency Uav Image Defect Detection Intervertebral Disc Contrast Tomography (ct) Magnetic Resonance Image Level Set Statistical Body Shape Model Low-rank And Sparse Decomposition Lumbar Spine U-net Depth-estimation Conformal Mapping Local Registration Convolutional Neural Network Dual-channel Non-referential Method Face Sketch Recognition Line Segment Features Medical Image Classification Image Segmentation Spline
Online Access:	https://www.mdpi.com/books/pdfview/book/2059 https://directory.doabooks.org/handle/20.500.12854...
Collection:	Directory of Open Access Books - Collection details see MPG.ReNa

Description
Summary:	Imaging and analysis are widely involved in various research fields, including biomedical applications, medical imaging and diagnosis, computer vision, autonomous driving, and robot controls. Imaging and analysis are now facing big changes regarding intelligence, due to the breakthroughs of artificial intelligence techniques, including deep learning. Many difficulties in image generation, reconstruction, de-noising skills, artifact removal, segmentation, detection, and control tasks are being overcome with the help of advanced artificial intelligence approaches. This Special Issue focuses on the latest developments of learning-based intelligent imaging techniques and subsequent analyses, which include photographic imaging, medical imaging, detection, segmentation, medical diagnosis, computer vision, and vision-based robot control. These latest technological developments will be shared through this Special Issue for the various researchers who are involved with imaging itself, or are using image data and analysis for their own specific purposes.
Item Description:	Creative Commons (cc), https://creativecommons.org/licenses/by-nc-nd/4.0/
Physical Description:	1 electronic resource (492 p.)
ISBN:	9783039219209 9783039219216 books978-3-03921-921-6

Intelligent Imaging and Analysis

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