TY  - GEN
AU  - Hwang,Dosik
AU  - Kim,DaeEun
TI  - Intelligent Imaging and Analysis
SN  - books978-3-03921-921-6
PY  - 2020///
PB  - MDPI - Multidisciplinary Digital Publishing Institute
KW  - statistical body shape model
KW  - weighted kernel density estimation (WKDE)
KW  - greedy projection triangulation
KW  - n/a
KW  - classification methods
KW  - image classification
KW  - intelligent evaluation
KW  - magnetic resonance image
KW  - computational efficiency
KW  - pixel extraction
KW  - convolutional kernel parameter
KW  - computer-aided manufacturing
KW  - long-term and short-term memory blocks
KW  - cavitation bubble
KW  - data imbalance
KW  - optimization arrangement
KW  - sharpness
KW  - convolutional neural networks
KW  - grey level co-occurrence matrix
KW  - image processing
KW  - adaptive evaluation window
KW  - Contrast Tomography (CT)
KW  - semi-automatic segmentation
KW  - mesh partitioning
KW  - non-referential method
KW  - correlation
KW  - PL-SLAM
KW  - contrast
KW  - computer vision
KW  - conformal mapping
KW  - iterative closest points
KW  - image inspection
KW  - intervertebral disc
KW  - shape from focus
KW  - threshold selection
KW  - rail surface defect
KW  - super-resolution
KW  - face sketch synthesis
KW  - normal distribution operator image filtering
KW  - underwater visual localization method
KW  - spline
KW  - high dynamic range
KW  - image enhancement
KW  - image alignment in medical images
KW  - feature extraction
KW  - incrementally probabilistic fusion
KW  - human parsing
KW  - face sketch recognition
KW  - segmentation
KW  - depth-estimation
KW  - self-intersection penalty term
KW  - road scenes
KW  - surface defect of steel sheet
KW  - signed pressure force function
KW  - patient-specific nuss bar
KW  - minimally invasive surgery
KW  - active contour model
KW  - convolutional neural network
KW  - CRF regularization
KW  - motion deburring
KW  - Inception-v3
KW  - computerized numerical control bending machine
KW  - machine learning
KW  - midsagittal plane extraction
KW  - wear measurement
KW  - OpenCV
KW  - lumbar spine
KW  - local registration
KW  - defect inspection
KW  - graph-based segmentation
KW  - Image processing
KW  - sprocket teeth
KW  - image analysis
KW  - dual-channel
KW  - geological structure images
KW  - defect detection
KW  - saliency detection
KW  - gradient detection
KW  - medical image classification
KW  - low-rank and sparse decomposition
KW  - mesh parameterization
KW  - deviation of strabismus
KW  - 3D pose estimation
KW  - MR spine image
KW  - pectus excavatum
KW  - automated cover tests
KW  - symmetry detection
KW  - automatic training
KW  - medical image registration
KW  - computer-aided design
KW  - PCA
KW  - misalignment correction in MRI
KW  - local correlation
KW  - synthetic aperture radar (SAR)
KW  - pre-training strategy
KW  - sparse feedback
KW  - three-dimensional imaging
KW  - image retrieval
KW  - joint training model
KW  - spatial information
KW  - additional learning
KW  - colorfulness
KW  - nuss procedure
KW  - gray stretch maximum entropy
KW  - vertebral body
KW  - multimodal medical image registration
KW  - machine vision
KW  - deep learning
KW  - point cloud registration
KW  - image restoration
KW  - image segmentation
KW  - segnet
KW  - line segment features
KW  - UAV image
KW  - image adjustment
KW  - pupil localization
KW  - residual block
KW  - transfer learning
KW  - CT image
KW  - U-net
KW  - reverse engineering
KW  - texture mapping
KW  - image denoising
KW  - water hydraulic valve
KW  - fault pattern learning
KW  - fine grain segmentation
KW  - 3D semantic mapping
KW  - level set
KW  - GoogLeNet
KW  - oil slicks
KW  - capacity optimization
KW  - defect segmentation
N1  - Open Access
N2  - 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
UR  - https://mdpi.com/books/pdfview/book/2059
UR  - https://directory.doabooks.org/handle/20.500.12854/50432
ER  -