Intelligent Imaging and Analysis

• Autor principal: Hwang, Dosik (auth)
• Outros Autores: Kim, DaeEun (auth)
• Formato: Recurso Eletrônico Capítulo de Livro
• Idioma: inglês
• Publicado em: MDPI - Multidisciplinary Digital Publishing Institute 2020
• Assuntos: History of engineering & technology; 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
• Acesso em linha: DOAB: download the publication; DOAB: description of the publication

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...