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Intelligent Imaging and Analysis

dc.contributor.authorHwang, Dosik*
dc.contributor.authorKim, DaeEun*
dc.date.accessioned2021-02-11T16:26:45Z
dc.date.available2021-02-11T16:26:45Z
dc.date.issued2020*
dc.date.submitted2020-04-07 23:07:08*
dc.identifier44782*
dc.identifier.urihttps://directory.doabooks.org/handle/20.500.12854/50432
dc.description.abstractImaging 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.*
dc.languageEnglish*
dc.subjectTA1-2040*
dc.subjectT1-995*
dc.subject.classificationthema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technologyen_US
dc.subject.otherstatistical body shape model*
dc.subject.otherweighted kernel density estimation (WKDE)*
dc.subject.othergreedy projection triangulation*
dc.subject.othern/a*
dc.subject.otherclassification methods*
dc.subject.otherimage classification*
dc.subject.otherintelligent evaluation*
dc.subject.othermagnetic resonance image*
dc.subject.othercomputational efficiency*
dc.subject.otherpixel extraction*
dc.subject.otherconvolutional kernel parameter*
dc.subject.othercomputer-aided manufacturing*
dc.subject.otherlong-term and short-term memory blocks*
dc.subject.othercavitation bubble*
dc.subject.otherdata imbalance*
dc.subject.otheroptimization arrangement*
dc.subject.othersharpness*
dc.subject.otherconvolutional neural networks*
dc.subject.othergrey level co-occurrence matrix*
dc.subject.otherimage processing*
dc.subject.otheradaptive evaluation window*
dc.subject.otherContrast Tomography (CT)*
dc.subject.othersemi-automatic segmentation*
dc.subject.othermesh partitioning*
dc.subject.othernon-referential method*
dc.subject.othercorrelation*
dc.subject.otherPL-SLAM*
dc.subject.othercontrast*
dc.subject.othercomputer vision*
dc.subject.otherconformal mapping*
dc.subject.otheriterative closest points*
dc.subject.otherimage inspection*
dc.subject.otherintervertebral disc*
dc.subject.othershape from focus*
dc.subject.otherthreshold selection*
dc.subject.otherrail surface defect*
dc.subject.othersuper-resolution*
dc.subject.otherface sketch synthesis*
dc.subject.othernormal distribution operator image filtering*
dc.subject.otherunderwater visual localization method*
dc.subject.otherspline*
dc.subject.otherhigh dynamic range*
dc.subject.otherimage enhancement*
dc.subject.otherimage alignment in medical images*
dc.subject.otherfeature extraction*
dc.subject.otherincrementally probabilistic fusion*
dc.subject.otherhuman parsing*
dc.subject.otherface sketch recognition*
dc.subject.othersegmentation*
dc.subject.otherdepth-estimation*
dc.subject.otherself-intersection penalty term*
dc.subject.otherroad scenes*
dc.subject.othersurface defect of steel sheet*
dc.subject.othersigned pressure force function*
dc.subject.otherpatient-specific nuss bar*
dc.subject.otherminimally invasive surgery*
dc.subject.otheractive contour model*
dc.subject.otherconvolutional neural network*
dc.subject.otherCRF regularization*
dc.subject.othermotion deburring*
dc.subject.otherInception-v3*
dc.subject.othercomputerized numerical control bending machine*
dc.subject.othermachine learning*
dc.subject.othermidsagittal plane extraction*
dc.subject.otherwear measurement*
dc.subject.otherOpenCV*
dc.subject.otherlumbar spine*
dc.subject.otherlocal registration*
dc.subject.otherdefect inspection*
dc.subject.othergraph-based segmentation*
dc.subject.otherImage processing*
dc.subject.othersprocket teeth*
dc.subject.otherimage analysis*
dc.subject.otherdual-channel*
dc.subject.othergeological structure images*
dc.subject.otherdefect detection*
dc.subject.othersaliency detection*
dc.subject.othergradient detection*
dc.subject.othermedical image classification*
dc.subject.otherlow-rank and sparse decomposition*
dc.subject.othermesh parameterization*
dc.subject.otherdeviation of strabismus*
dc.subject.other3D pose estimation*
dc.subject.otherMR spine image*
dc.subject.otherpectus excavatum*
dc.subject.otherautomated cover tests*
dc.subject.othersymmetry detection*
dc.subject.otherautomatic training*
dc.subject.othermedical image registration*
dc.subject.othercomputer-aided design*
dc.subject.otherPCA*
dc.subject.othermisalignment correction in MRI*
dc.subject.otherlocal correlation*
dc.subject.othersynthetic aperture radar (SAR)*
dc.subject.otherpre-training strategy*
dc.subject.othersparse feedback*
dc.subject.otherthree-dimensional imaging*
dc.subject.otherimage retrieval*
dc.subject.otherjoint training model*
dc.subject.otherspatial information*
dc.subject.otheradditional learning*
dc.subject.othercolorfulness*
dc.subject.othernuss procedure*
dc.subject.othergray stretch maximum entropy*
dc.subject.othervertebral body*
dc.subject.othermultimodal medical image registration*
dc.subject.othermachine vision*
dc.subject.otherdeep learning*
dc.subject.otherpoint cloud registration*
dc.subject.otherimage restoration*
dc.subject.otherimage segmentation*
dc.subject.othersegnet*
dc.subject.otherline segment features*
dc.subject.otherUAV image*
dc.subject.otherimage adjustment*
dc.subject.otherpupil localization*
dc.subject.otherresidual block*
dc.subject.othertransfer learning*
dc.subject.otherCT image*
dc.subject.otherU-net*
dc.subject.otherreverse engineering*
dc.subject.othertexture mapping*
dc.subject.otherimage denoising*
dc.subject.otherwater hydraulic valve*
dc.subject.otherfault pattern learning*
dc.subject.otherfine grain segmentation*
dc.subject.other3D semantic mapping*
dc.subject.otherlevel set*
dc.subject.otherGoogLeNet*
dc.subject.otheroil slicks*
dc.subject.othercapacity optimization*
dc.subject.otherdefect segmentation*
dc.titleIntelligent Imaging and Analysis*
dc.typebook
oapen.identifier.doi10.3390/books978-3-03921-921-6*
oapen.relation.isPublishedBy46cabcaa-dd94-4bfe-87b4-55023c1b36d0*
oapen.relation.isbn9783039219216*
oapen.relation.isbn9783039219209*
oapen.pages492*
oapen.edition1st*


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