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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| creator | Hwang, Dosik Kim, DaeEun |
| description | 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. |
| doi_str_mv | 10.3390/books978-3-03921-921-6 |
| format | Book |
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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.</description><identifier>ISBN: 9783039219216</identifier><identifier>ISBN: 9783039219209</identifier><identifier>ISBN: 3039219219</identifier><identifier>ISBN: 3039219200</identifier><identifier>DOI: 10.3390/books978-3-03921-921-6</identifier><language>eng</language><publisher>MDPI - Multidisciplinary Digital Publishing Institute</publisher><subject>3D pose estimation ; 3D semantic mapping ; active contour model ; adaptive evaluation window ; additional learning ; automated cover tests ; automatic training ; capacity optimization ; cavitation bubble ; classification methods ; colorfulness ; computational efficiency ; computer vision ; computer-aided design ; computer-aided manufacturing ; computerized numerical control bending machine ; conformal mapping ; contrast ; Contrast Tomography (CT) ; convolutional kernel parameter ; convolutional neural network ; convolutional neural networks ; correlation ; CRF regularization ; CT image ; data imbalance ; deep learning ; defect detection ; defect inspection ; defect segmentation ; depth-estimation ; deviation of strabismus ; dual-channel ; face sketch recognition ; face sketch synthesis ; fault pattern learning ; feature extraction ; fine grain segmentation ; geological structure images ; GoogLeNet ; gradient detection ; graph-based segmentation ; gray stretch maximum entropy ; greedy projection triangulation ; grey level co-occurrence matrix ; high dynamic range ; History of engineering and technology ; human parsing ; image adjustment ; image alignment in medical images ; image analysis ; image classification ; image denoising ; image enhancement ; image inspection ; image processing ; image restoration ; image retrieval ; image segmentation ; Inception-v3 ; incrementally probabilistic fusion ; intelligent evaluation ; intervertebral disc ; iterative closest points ; joint training model ; level set ; line segment features ; local correlation ; local registration ; long-term and short-term memory blocks ; low-rank and sparse decomposition ; lumbar spine ; machine learning ; machine vision ; magnetic resonance image ; medical image classification ; medical image registration ; mesh parameterization ; mesh partitioning ; midsagittal plane extraction ; minimally invasive surgery ; misalignment correction in MRI ; motion deburring ; MR spine image ; multimodal medical image registration ; n/a ; non-referential method ; normal distribution operator image filtering ; nuss procedure ; oil slicks ; OpenCV ; optimization arrangement ; patient-specific nuss bar ; PCA ; pectus excavatum ; pixel extraction ; PL-SLAM ; point cloud registration ; pre-training strategy ; pupil localization ; rail surface defect ; residual block ; reverse engineering ; road scenes ; saliency detection ; segmentation ; segnet ; self-intersection penalty term ; semi-automatic segmentation ; shape from focus ; sharpness ; signed pressure force function ; sparse feedback ; spatial information ; spline ; sprocket teeth ; statistical body shape model ; super-resolution ; surface defect of steel sheet ; symmetry detection ; synthetic aperture radar (SAR) ; T1-995 ; TA1-2040 ; Technology, Engineering, Agriculture, Industrial processes ; Technology: general issues ; texture mapping ; three-dimensional imaging ; threshold selection ; transfer learning ; U-net ; UAV image ; underwater visual localization method ; vertebral body ; water hydraulic valve ; wear measurement ; weighted kernel density estimation (WKDE)</subject><creationdate>2020</creationdate><tpages>492</tpages><format>492</format><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>306,776,780,782,27904,55288</link.rule.ids></links><search><creatorcontrib>Hwang, Dosik</creatorcontrib><creatorcontrib>Kim, DaeEun</creatorcontrib><title>Intelligent Imaging and Analysis</title><description>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.</description><subject>3D pose estimation</subject><subject>3D semantic mapping</subject><subject>active contour model</subject><subject>adaptive evaluation window</subject><subject>additional learning</subject><subject>automated cover tests</subject><subject>automatic training</subject><subject>capacity optimization</subject><subject>cavitation bubble</subject><subject>classification methods</subject><subject>colorfulness</subject><subject>computational efficiency</subject><subject>computer vision</subject><subject>computer-aided design</subject><subject>computer-aided manufacturing</subject><subject>computerized numerical control bending machine</subject><subject>conformal mapping</subject><subject>contrast</subject><subject>Contrast Tomography (CT)</subject><subject>convolutional kernel parameter</subject><subject>convolutional neural network</subject><subject>convolutional neural networks</subject><subject>correlation</subject><subject>CRF regularization</subject><subject>CT image</subject><subject>data imbalance</subject><subject>deep learning</subject><subject>defect detection</subject><subject>defect inspection</subject><subject>defect segmentation</subject><subject>depth-estimation</subject><subject>deviation of strabismus</subject><subject>dual-channel</subject><subject>face sketch recognition</subject><subject>face sketch synthesis</subject><subject>fault pattern learning</subject><subject>feature extraction</subject><subject>fine grain segmentation</subject><subject>geological structure images</subject><subject>GoogLeNet</subject><subject>gradient detection</subject><subject>graph-based segmentation</subject><subject>gray stretch maximum entropy</subject><subject>greedy projection triangulation</subject><subject>grey level co-occurrence matrix</subject><subject>high dynamic range</subject><subject>History of engineering and technology</subject><subject>human parsing</subject><subject>image adjustment</subject><subject>image alignment in medical images</subject><subject>image analysis</subject><subject>image classification</subject><subject>image denoising</subject><subject>image enhancement</subject><subject>image inspection</subject><subject>image processing</subject><subject>image restoration</subject><subject>image retrieval</subject><subject>image segmentation</subject><subject>Inception-v3</subject><subject>incrementally probabilistic fusion</subject><subject>intelligent evaluation</subject><subject>intervertebral disc</subject><subject>iterative closest points</subject><subject>joint training model</subject><subject>level set</subject><subject>line segment features</subject><subject>local correlation</subject><subject>local registration</subject><subject>long-term and short-term memory blocks</subject><subject>low-rank and sparse decomposition</subject><subject>lumbar spine</subject><subject>machine learning</subject><subject>machine vision</subject><subject>magnetic resonance image</subject><subject>medical image classification</subject><subject>medical image registration</subject><subject>mesh parameterization</subject><subject>mesh partitioning</subject><subject>midsagittal plane extraction</subject><subject>minimally invasive surgery</subject><subject>misalignment correction in MRI</subject><subject>motion deburring</subject><subject>MR spine image</subject><subject>multimodal medical image registration</subject><subject>n/a</subject><subject>non-referential method</subject><subject>normal distribution operator image filtering</subject><subject>nuss procedure</subject><subject>oil slicks</subject><subject>OpenCV</subject><subject>optimization arrangement</subject><subject>patient-specific nuss bar</subject><subject>PCA</subject><subject>pectus excavatum</subject><subject>pixel extraction</subject><subject>PL-SLAM</subject><subject>point cloud registration</subject><subject>pre-training strategy</subject><subject>pupil localization</subject><subject>rail surface defect</subject><subject>residual block</subject><subject>reverse engineering</subject><subject>road scenes</subject><subject>saliency detection</subject><subject>segmentation</subject><subject>segnet</subject><subject>self-intersection penalty term</subject><subject>semi-automatic segmentation</subject><subject>shape from focus</subject><subject>sharpness</subject><subject>signed pressure force function</subject><subject>sparse feedback</subject><subject>spatial information</subject><subject>spline</subject><subject>sprocket teeth</subject><subject>statistical body shape model</subject><subject>super-resolution</subject><subject>surface defect of steel sheet</subject><subject>symmetry detection</subject><subject>synthetic aperture radar (SAR)</subject><subject>T1-995</subject><subject>TA1-2040</subject><subject>Technology, Engineering, Agriculture, Industrial processes</subject><subject>Technology: general issues</subject><subject>texture mapping</subject><subject>three-dimensional imaging</subject><subject>threshold selection</subject><subject>transfer learning</subject><subject>U-net</subject><subject>UAV image</subject><subject>underwater visual localization method</subject><subject>vertebral body</subject><subject>water hydraulic valve</subject><subject>wear measurement</subject><subject>weighted kernel density estimation (WKDE)</subject><isbn>9783039219216</isbn><isbn>9783039219209</isbn><isbn>3039219219</isbn><isbn>3039219200</isbn><fulltext>true</fulltext><rsrctype>book</rsrctype><creationdate>2020</creationdate><recordtype>book</recordtype><sourceid>V1H</sourceid><recordid>eNotj81Kw0AUhQeKUKl5goLkBUZv7p3czCxLsRoodKPrMr8hmk6E6ca3t7bC-TjwLQ4cIR4beCIy8Ozm-auYTkuSQAYb-QcvRHVxdDWX8FJUpXwCABroTIf3ou7zOU7TOMR8rvuTHcY81DaHepPt9FPG8iDukp1KrP57JT52L-_bN7k_vPbbzV4mRUpLjZo7z61j4qCDi6g4kHIuYPSt8-QdBfDJRtSARAlNywoc2KZJxEgrsb7tzvY75mOY7fXSsQVFSL8EzT4q</recordid><startdate>2020</startdate><enddate>2020</enddate><creator>Hwang, Dosik</creator><creator>Kim, DaeEun</creator><general>MDPI - Multidisciplinary Digital Publishing Institute</general><scope>V1H</scope></search><sort><creationdate>2020</creationdate><title>Intelligent Imaging and Analysis</title><author>Hwang, Dosik ; Kim, DaeEun</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-f4348-82867c65b636d8dbe246d34bbd2ec5bc3cb3d0cfae280233f295640b0a11f3623</frbrgroupid><rsrctype>books</rsrctype><prefilter>books</prefilter><language>eng</language><creationdate>2020</creationdate><topic>3D pose estimation</topic><topic>3D semantic mapping</topic><topic>active contour model</topic><topic>adaptive evaluation window</topic><topic>additional learning</topic><topic>automated cover tests</topic><topic>automatic training</topic><topic>capacity optimization</topic><topic>cavitation bubble</topic><topic>classification methods</topic><topic>colorfulness</topic><topic>computational efficiency</topic><topic>computer vision</topic><topic>computer-aided design</topic><topic>computer-aided manufacturing</topic><topic>computerized numerical control bending machine</topic><topic>conformal mapping</topic><topic>contrast</topic><topic>Contrast Tomography (CT)</topic><topic>convolutional kernel parameter</topic><topic>convolutional neural network</topic><topic>convolutional neural networks</topic><topic>correlation</topic><topic>CRF regularization</topic><topic>CT image</topic><topic>data imbalance</topic><topic>deep learning</topic><topic>defect detection</topic><topic>defect inspection</topic><topic>defect segmentation</topic><topic>depth-estimation</topic><topic>deviation of strabismus</topic><topic>dual-channel</topic><topic>face sketch recognition</topic><topic>face sketch synthesis</topic><topic>fault pattern learning</topic><topic>feature extraction</topic><topic>fine grain segmentation</topic><topic>geological structure images</topic><topic>GoogLeNet</topic><topic>gradient detection</topic><topic>graph-based segmentation</topic><topic>gray stretch maximum entropy</topic><topic>greedy projection triangulation</topic><topic>grey level co-occurrence matrix</topic><topic>high dynamic range</topic><topic>History of engineering and technology</topic><topic>human parsing</topic><topic>image adjustment</topic><topic>image alignment in medical images</topic><topic>image analysis</topic><topic>image classification</topic><topic>image denoising</topic><topic>image enhancement</topic><topic>image inspection</topic><topic>image processing</topic><topic>image restoration</topic><topic>image retrieval</topic><topic>image segmentation</topic><topic>Inception-v3</topic><topic>incrementally probabilistic fusion</topic><topic>intelligent evaluation</topic><topic>intervertebral disc</topic><topic>iterative closest points</topic><topic>joint training model</topic><topic>level set</topic><topic>line segment features</topic><topic>local correlation</topic><topic>local registration</topic><topic>long-term and short-term memory blocks</topic><topic>low-rank and sparse decomposition</topic><topic>lumbar spine</topic><topic>machine learning</topic><topic>machine vision</topic><topic>magnetic resonance image</topic><topic>medical image classification</topic><topic>medical image registration</topic><topic>mesh parameterization</topic><topic>mesh partitioning</topic><topic>midsagittal plane extraction</topic><topic>minimally invasive surgery</topic><topic>misalignment correction in MRI</topic><topic>motion deburring</topic><topic>MR spine image</topic><topic>multimodal medical image registration</topic><topic>n/a</topic><topic>non-referential method</topic><topic>normal distribution operator image filtering</topic><topic>nuss procedure</topic><topic>oil slicks</topic><topic>OpenCV</topic><topic>optimization arrangement</topic><topic>patient-specific nuss bar</topic><topic>PCA</topic><topic>pectus excavatum</topic><topic>pixel extraction</topic><topic>PL-SLAM</topic><topic>point cloud registration</topic><topic>pre-training strategy</topic><topic>pupil localization</topic><topic>rail surface defect</topic><topic>residual block</topic><topic>reverse engineering</topic><topic>road scenes</topic><topic>saliency detection</topic><topic>segmentation</topic><topic>segnet</topic><topic>self-intersection penalty term</topic><topic>semi-automatic segmentation</topic><topic>shape from focus</topic><topic>sharpness</topic><topic>signed pressure force function</topic><topic>sparse feedback</topic><topic>spatial information</topic><topic>spline</topic><topic>sprocket teeth</topic><topic>statistical body shape model</topic><topic>super-resolution</topic><topic>surface defect of steel sheet</topic><topic>symmetry detection</topic><topic>synthetic aperture radar (SAR)</topic><topic>T1-995</topic><topic>TA1-2040</topic><topic>Technology, Engineering, Agriculture, Industrial processes</topic><topic>Technology: general issues</topic><topic>texture mapping</topic><topic>three-dimensional imaging</topic><topic>threshold selection</topic><topic>transfer learning</topic><topic>U-net</topic><topic>UAV image</topic><topic>underwater visual localization method</topic><topic>vertebral body</topic><topic>water hydraulic valve</topic><topic>wear measurement</topic><topic>weighted kernel density estimation (WKDE)</topic><toplevel>online_resources</toplevel><creatorcontrib>Hwang, Dosik</creatorcontrib><creatorcontrib>Kim, DaeEun</creatorcontrib><collection>DOAB: Directory of Open Access Books</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Hwang, Dosik</au><au>Kim, DaeEun</au><format>book</format><genre>book</genre><ristype>BOOK</ristype><btitle>Intelligent Imaging and Analysis</btitle><date>2020</date><risdate>2020</risdate><isbn>9783039219216</isbn><isbn>9783039219209</isbn><isbn>3039219219</isbn><isbn>3039219200</isbn><abstract>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.</abstract><pub>MDPI - Multidisciplinary Digital Publishing Institute</pub><doi>10.3390/books978-3-03921-921-6</doi><tpages>492</tpages><oa>free_for_read</oa></addata></record> |
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| subjects | 3D pose estimation 3D semantic mapping active contour model adaptive evaluation window additional learning automated cover tests automatic training capacity optimization cavitation bubble classification methods colorfulness computational efficiency computer vision computer-aided design computer-aided manufacturing computerized numerical control bending machine conformal mapping contrast Contrast Tomography (CT) convolutional kernel parameter convolutional neural network convolutional neural networks correlation CRF regularization CT image data imbalance deep learning defect detection defect inspection defect segmentation depth-estimation deviation of strabismus dual-channel face sketch recognition face sketch synthesis fault pattern learning feature extraction fine grain segmentation geological structure images GoogLeNet gradient detection graph-based segmentation gray stretch maximum entropy greedy projection triangulation grey level co-occurrence matrix high dynamic range History of engineering and technology human parsing image adjustment image alignment in medical images image analysis image classification image denoising image enhancement image inspection image processing image restoration image retrieval image segmentation Inception-v3 incrementally probabilistic fusion intelligent evaluation intervertebral disc iterative closest points joint training model level set line segment features local correlation local registration long-term and short-term memory blocks low-rank and sparse decomposition lumbar spine machine learning machine vision magnetic resonance image medical image classification medical image registration mesh parameterization mesh partitioning midsagittal plane extraction minimally invasive surgery misalignment correction in MRI motion deburring MR spine image multimodal medical image registration n/a non-referential method normal distribution operator image filtering nuss procedure oil slicks OpenCV optimization arrangement patient-specific nuss bar PCA pectus excavatum pixel extraction PL-SLAM point cloud registration pre-training strategy pupil localization rail surface defect residual block reverse engineering road scenes saliency detection segmentation segnet self-intersection penalty term semi-automatic segmentation shape from focus sharpness signed pressure force function sparse feedback spatial information spline sprocket teeth statistical body shape model super-resolution surface defect of steel sheet symmetry detection synthetic aperture radar (SAR) T1-995 TA1-2040 Technology, Engineering, Agriculture, Industrial processes Technology: general issues texture mapping three-dimensional imaging threshold selection transfer learning U-net UAV image underwater visual localization method vertebral body water hydraulic valve wear measurement weighted kernel density estimation (WKDE) |
| title | Intelligent Imaging and Analysis |
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