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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Detaylı Bibliyografya
Asıl Yazarlar:	Hwang, Dosik, Kim, DaeEun
Materyal Türü:	Online
Dil:	İngilizce
Baskı/Yayın Bilgisi:	MDPI - Multidisciplinary Digital Publishing Institute 2021
Konular:	TA1-2040 T1-995 statistical body shape model weighted kernel density estimation (WKDE) greedy projection triangulation n/a classification methods image classification intelligent evaluation magnetic resonance image computational efficiency pixel extraction convolutional kernel parameter computer-aided manufacturing long-term and short-term memory blocks cavitation bubble data imbalance optimization arrangement sharpness convolutional neural networks grey level co-occurrence matrix image processing adaptive evaluation window Contrast Tomography (CT) semi-automatic segmentation mesh partitioning non-referential method correlation PL-SLAM contrast computer vision conformal mapping iterative closest points image inspection intervertebral disc shape from focus threshold selection rail surface defect super-resolution face sketch synthesis normal distribution operator image filtering underwater visual localization method spline high dynamic range image enhancement image alignment in medical images feature extraction incrementally probabilistic fusion human parsing face sketch recognition segmentation depth-estimation self-intersection penalty term road scenes surface defect of steel sheet signed pressure force function patient-specific nuss bar minimally invasive surgery active contour model convolutional neural network CRF regularization motion deburring Inception-v3 computerized numerical control bending machine machine learning midsagittal plane extraction wear measurement OpenCV lumbar spine local registration defect inspection graph-based segmentation Image processing sprocket teeth image analysis dual-channel geological structure images defect detection saliency detection gradient detection medical image classification low-rank and sparse decomposition mesh parameterization deviation of strabismus 3D pose estimation MR spine image pectus excavatum automated cover tests symmetry detection automatic training medical image registration computer-aided design PCA misalignment correction in MRI local correlation synthetic aperture radar (SAR) pre-training strategy sparse feedback three-dimensional imaging image retrieval joint training model spatial information additional learning colorfulness nuss procedure gray stretch maximum entropy vertebral body multimodal medical image registration machine vision deep learning point cloud registration image restoration image segmentation segnet line segment features UAV image image adjustment pupil localization residual block transfer learning CT image U-net reverse engineering texture mapping image denoising water hydraulic valve fault pattern learning fine grain segmentation 3D semantic mapping level set GoogLeNet oil slicks capacity optimization defect segmentation thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
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Diğer Bilgiler
Özet:	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.

Intelligent Imaging and Analysis

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