Suchergebnisse - ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.6: Segmentation
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Quelle: 2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI)
20th IEEE International Symposium on Biomedical Imaging (ISBI 2023)
https://hal.science/hal-03865212
20th IEEE International Symposium on Biomedical Imaging (ISBI 2023), Apr 2023, Cartagena (Colombia), ColombiaSchlagwörter: spinal cord, loss function, decision threshold, medical imaging, multiple sclerosis, segmentation, ACM: I.: Computing Methodologies/I.2: ARTIFICIAL INTELLIGENCE, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.6: Segmentation, [INFO.INFO-IM]Computer Science [cs]/Medical Imaging, [INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG], [INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV], [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing
Geographisches Schlagwort: Cartagena (Colombia), Colombia
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Quelle: SPIE Medical Imaging 2022 ; https://hal.science/hal-03522378 ; SPIE Medical Imaging 2022, Feb 2022, San Diego, United States
Schlagwörter: Computational Pathology, Deep Learning, Segmentation, Tangles, Neuritic Plaques, Tau Proteins, Whole Slide Images, Alzheimer's Disease, Detection, ACM: I.: Computing Methodologies/I.2: ARTIFICIAL INTELLIGENCE/I.2.10: Vision and Scene Understanding/I.2.10.7: Shape, ACM: I.: Computing Methodologies/I.2: ARTIFICIAL INTELLIGENCE/I.2.10: Vision and Scene Understanding/I.2.10.8: Texture, ACM: I.: Computing Methodologies/I.2: ARTIFICIAL INTELLIGENCE/I.2.11: Distributed Artificial Intelligence/I.2.11.1: Intelligent agents, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.6: Segmentation, [INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV], [INFO.INFO-IM]Computer Science [cs]/Medical Imaging, [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]
Geographisches Schlagwort: San Diego, United States
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Quelle: ISSN: 1424-8220 ; Sensors ; https://hal.archives-ouvertes.fr/hal-03909569 ; Sensors, 2022, 23 (1), pp.56. ⟨10.3390/s23010056⟩ ; https://www.mdpi.com/1424-8220/23/1/56.
Schlagwörter: Computer science, seismology, Galitzine seismometer, horizontal component, analogue seismogram, digitising, earthquake recording, ground motions, historical seismograms, seismic waves, Signal processing, ACM: I.: Computing Methodologies, ACM: I.: Computing Methodologies/I.3: COMPUTER GRAPHICS, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.8: Scene Analysis, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.6: Segmentation, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.0: General, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION, ACM: I.: Computing Methodologies/I.6: SIMULATION AND MODELING, [INFO]Computer Science [cs], [INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV], [SDU]Sciences of the Universe [physics], [SDU.STU]Sciences of the Universe [physics]/Earth Sciences, [SDU.OCEAN]Sciences of the Universe [physics]/Ocean, Atmosphere, [SDU.STU.GP]Sciences of the Universe [physics]/Earth Sciences/Geophysics [physics.geo-ph], [SDU.STU.AG]Sciences of the Universe [physics]/Earth Sciences/Applied geology, [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing, [PHYS]Physics [physics], [PHYS.PHYS.PHYS-GEO-PH]Physics [physics]/Physics [physics]/Geophysics [physics.geo-ph]
Relation: hal-03909569; https://hal.archives-ouvertes.fr/hal-03909569; https://hal.archives-ouvertes.fr/hal-03909569/document; https://hal.archives-ouvertes.fr/hal-03909569/file/sensors-23-00056.pdf
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Quelle: 3rd EUROPEAN CONFERENCE ON EARTHQUAKE ENGINEERING & SEISMOLOGY
Proceedings of the Third European Conference on Earthquake Engineering and Seismology - 3ECEES
https://hal.archives-ouvertes.fr/hal-03774028
Proceedings of the Third European Conference on Earthquake Engineering and Seismology - 3ECEES, European Seismological Commission, Sep 2022, Bucharest, Romania. pp.3507-3513, ⟨10.5281/zenodo.7064711⟩
https://3ecees.ro/Schlagwörter: analog seismograms, seismic noise, oceanic storms, digitalization, machine learning, oceanic climate, ACM: K.: Computing Milieux, ACM: I.: Computing Methodologies, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.10: Image Representation, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.1: Models, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.2: Design Methodology, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.4: Applications, ACM: I.: Computing Methodologies/I.6: SIMULATION AND MODELING, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.5: Reconstruction, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.6: Segmentation, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.7: Feature Measurement, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.6: Segmentation/I.4.6.0: Edge and feature detection, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.6: Segmentation/I.4.6.1: Pixel classification, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.6: Segmentation/I.4.6.3: Relaxation, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.6: Segmentation/I.4.6.2: Region growing, partitioning, [SDU]Sciences of the Universe [physics], [SDU.STU]Sciences of the Universe [physics]/Earth Sciences, [INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation, [INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV], [INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG], [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing, [SDU.OCEAN]Sciences of the Universe [physics]/Ocean
Relation: hal-03774028; https://hal.archives-ouvertes.fr/hal-03774028; https://hal.archives-ouvertes.fr/hal-03774028/document; https://hal.archives-ouvertes.fr/hal-03774028/file/De_Plaen_et_al_Proc_3ECEES_2022.pdf
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Quelle: ISSN: 2300-1496 ; Geomatics, Landmanagement and Landscape ; https://hal.archives-ouvertes.fr/hal-03606304 ; Geomatics, Landmanagement and Landscape, University of Agriculture in Krakow, 2021, 4, pp.147-167. ⟨10.15576/GLL/2021.4.147⟩ ; https://gll.urk.edu.pl/index/site/7770.
Schlagwörter: cartography, Iceland, remote sensing, Arctic, ArcGIS, mapping, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.0: General, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.1: Digitization and Image Capture, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.3: Enhancement, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.6: Segmentation, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.8: Scene Analysis, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.10: Image Representation, [SDE]Environmental Sciences, [SDE.BE]Environmental Sciences/Biodiversity and Ecology, [INFO.INFO-DS]Computer Science [cs]/Data Structures and Algorithms [cs.DS], [INFO.INFO-IR]Computer Science [cs]/Information Retrieval [cs.IR], [INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV], [INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation, [SDE.MCG]Environmental Sciences/Global Changes, [SDE.IE]Environmental Sciences/Environmental Engineering, [SDU.STU]Sciences of the Universe [physics]/Earth Sciences, [INFO]Computer Science [cs], [INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV], [INFO.INFO-GR]Computer Science [cs]/Graphics [cs.GR], [INFO.INFO-HC]Computer Science [cs]/Human-Computer Interaction [cs.HC], [INFO.INFO-IA]Computer Science [cs]/Computer Aided Engineering
Relation: hal-03606304; https://hal.archives-ouvertes.fr/hal-03606304; https://hal.archives-ouvertes.fr/hal-03606304/document; https://hal.archives-ouvertes.fr/hal-03606304/file/GLL-4-11_2021.pdf
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Quelle: ISSN: 2738-0971 ; Bulletin of Natural Sciences Research ; https://hal.archives-ouvertes.fr/hal-03277625 ; Bulletin of Natural Sciences Research, University of Priština - Faculty of Natural Sciences and Mathematics, Kosovska Mitrovica, 2021, 11 (1), pp.29-37. ⟨10.5937/bnsr11-30488⟩ ; https://scindeks.ceon.rs/journaldetails.aspx?issn=2738-0971&lang=en.
Schlagwörter: Machine learning, Landsat TM, ArcGIS, Cartography, Geography, Landscape, Land cover / land use, Mapping, Data visceralization, Data modeling, ACM: K.: Computing Milieux, ACM: K.: Computing Milieux/K.3: COMPUTERS AND EDUCATION, ACM: I.: Computing Methodologies, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION, ACM: I.: Computing Methodologies/I.3: COMPUTER GRAPHICS, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.0: General, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.8: Scene Analysis, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.10: Image Representation, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.6: Segmentation, [INFO]Computer Science [cs], [INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation, [INFO.INFO-IA]Computer Science [cs]/Computer Aided Engineering, [INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV], [SDE]Environmental Sciences, [SDE.MCG]Environmental Sciences/Global Changes, [SDE.BE]Environmental Sciences/Biodiversity and Ecology, [SDE.IE]Environmental Sciences/Environmental Engineering, [SDU.STU]Sciences of the Universe [physics]/Earth Sciences, [SDU.STU.CL]Sciences of the Universe [physics]/Earth Sciences/Climatology, [INFO.INFO-GR]Computer Science [cs]/Graphics [cs.GR]
Relation: hal-03277625; https://hal.archives-ouvertes.fr/hal-03277625; https://hal.archives-ouvertes.fr/hal-03277625/document; https://hal.archives-ouvertes.fr/hal-03277625/file/document.pdf
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Quelle: Physics and Mechanics of Random Structures: from Morphology to Material Properties ; https://hal.science/hal-01822522 ; Physics and Mechanics of Random Structures: from Morphology to Material Properties, Jun 2018, Ile d'Oléron, France. pp.5-7 ; http://cmm.ensmp.fr/~willot/PMRM/
Schlagwörter: chaining effect, region growing, homogeneity, heterogeneity criterion, segmentation, LIP, Logarithmic Image Processing, low-contrasted images, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.6: Segmentation, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.3: Enhancement, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION, [INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV], [MATH.MATH-NA]Mathematics [math]/Numerical Analysis [math.NA], [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing
Geographisches Schlagwort: Ile d'Oléron, France
Relation: info:eu-repo/semantics/altIdentifier/arxiv/1806.10472; ARXIV: 1806.10472
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Quelle: Pattern Recognition. 47:3852-3869
Schlagwörter: [SDV.SA.SF]Life Sciences [q-bio]/Agricultural sciences/Silviculture, [SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/Imaging, forestry, Discrete geometry, [INFO.INFO-IM] Computer Science [cs]/Medical Imaging, 02 engineering and technology, [INFO.INFO-DM]Computer Science [cs]/Discrete Mathematics [cs.DM], ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.10: Image Representation/I.4.10.4: Volumetric, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.6: Segmentation, [INFO.INFO-DM] Computer Science [cs]/Discrete Mathematics [cs.DM], Segmentation, [SDV.IB.IMA] Life Sciences [q-bio]/Bioengineering/Imaging, [INFO.INFO-TI] Computer Science [cs]/Image Processing [eess.IV], ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.7: Feature Measurement/I.4.7.4: Size and shape, [INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV], Curvature estimators, [INFO.INFO-IM]Computer Science [cs]/Medical Imaging, Wood knot, 0202 electrical engineering, electronic engineering, information engineering, [SDV.SA.SF] Life Sciences [q-bio]/Agricultural sciences/Silviculture, forestry, X-ray CT scanner
Zugangs-URL: https://dblp.uni-trier.de/db/journals/pr/pr47.html#KrahenbuhlKDML14
https://www.sciencedirect.com/science/article/pii/S0031320314002003
https://hal.inria.fr/hal-01062639
https://hal.archives-ouvertes.fr/hal-01062639
https://inria.hal.science/hal-01062639v1
https://doi.org/10.1016/j.patcog.2014.05.015 -
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Quelle: ISSN: 0554-5587 ; Poljoprivredna Tehnika ; https://hal.archives-ouvertes.fr/hal-03344552 ; Poljoprivredna Tehnika, University of Belgrade, Faculty of Agriculture, 2021, 46 (3), pp.49-60. ⟨10.5937/PoljTeh2103049L⟩ ; http://www.jageng.agrif.bg.ac.rs/.
Schlagwörter: SAGA GIS, landsat TM, cartography, Vegetation Index, PVI, TSAVI, agriculture, mapping, iceland, environment, ACM: I.: Computing Methodologies, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.6: Segmentation, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.8: Scene Analysis, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.10: Image Representation, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.1: Digitization and Image Capture, ACM: I.: Computing Methodologies/I.3: COMPUTER GRAPHICS, ACM: I.: Computing Methodologies/I.3: COMPUTER GRAPHICS/I.3.4: Graphics Utilities, ACM: I.: Computing Methodologies/I.3: COMPUTER GRAPHICS/I.3.3: Picture/Image Generation, ACM: I.: Computing Methodologies/I.3: COMPUTER GRAPHICS/I.3.6: Methodology and Techniques, [INFO]Computer Science [cs], [SDE]Environmental Sciences, [SDV.EE]Life Sciences [q-bio]/Ecology, [INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV], [SDE.MCG]Environmental Sciences/Global Changes, [SDU.STU]Sciences of the Universe [physics]/Earth Sciences, [INFO.INFO-DS]Computer Science [cs]/Data Structures and Algorithms [cs.DS], [INFO.INFO-GR]Computer Science [cs]/Graphics [cs.GR], [INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV], [INFO.INFO-IA]Computer Science [cs]/Computer Aided Engineering
Relation: hal-03344552; https://hal.archives-ouvertes.fr/hal-03344552; https://hal.archives-ouvertes.fr/hal-03344552/document; https://hal.archives-ouvertes.fr/hal-03344552/file/PT_03-2021_Lemenkova_49_60.pdf
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Quelle: https://hal.science/hal-03865212 ; 2022.
Schlagwörter: spinal cord, loss function, decision threshold, medical imaging, Multiple sclerosis, segmentation, ACM: I.: Computing Methodologies/I.2: ARTIFICIAL INTELLIGENCE, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.6: Segmentation, [INFO.INFO-IM]Computer Science [cs]/Medical Imaging, [INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV], [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing, [INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG]
Relation: hal-03865212; https://hal.science/hal-03865212; https://hal.science/hal-03865212/document; https://hal.science/hal-03865212/file/ISBI_Primus_final.pdf
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Quelle: International Journal of Remote Sensing. 31:5895-5920
Schlagwörter: FOS: Computer and information sciences, Hyperspectral image segmentation, spatio-spectral segmentation, Stochastic Watershed, Computer Vision and Pattern Recognition (cs.CV), Computer Science - Computer Vision and Pattern Recognition, 0211 other engineering and technologies, multispectral image segmentation, 02 engineering and technology, Probability density function (pdf), [SPI.MAT]Engineering Sciences [physics]/Materials, Pre-segmentation, [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing, Machine learning, 0202 electrical engineering, electronic engineering, information engineering, Spectral information, Probabilistic Watershed, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION, Multispectral images, Multi-spectral, Monte Carlo Simulation, Spectral classification, Correspondence analysis, [MATH.MATH-PR]Mathematics [math]/Probability [math.PR], ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.6: Segmentation, Morphological segmentation, Spatial informations, [INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV], probability density function of contours, Mathematical Morphology, Eigenvectors, Remote sensing images, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing, Spectral segmentation
Zugangs-URL: http://arxiv.org/pdf/1602.03145
http://arxiv.org/abs/1602.03145
http://ui.adsabs.harvard.edu/abs/2010IJRS...31.5895N/abstract
https://hal.archives-ouvertes.fr/hal-00836063
https://www.tandfonline.com/doi/full/10.1080/01431161.2010.512314
https://arxiv.org/abs/1602.03145
https://www.tandfonline.com/doi/ref/10.1080/01431161.2010.512314
https://hal-mines-paristech.archives-ouvertes.fr/hal-00836063
https://arxiv.org/pdf/1602.03145.pdf
https://arxiv.org/abs/1602.03145
http://export.arxiv.org/pdf/1602.03145 -
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Quelle: Computers and Electronics in Agriculture. 104:46-56
Schlagwörter: 2. Zero hunger, 0106 biological sciences, [SDV.SA.SF]Life Sciences [q-bio]/Agricultural sciences/Silviculture, forestry, [INFO.INFO-IM] Computer Science [cs]/Medical Imaging, 04 agricultural and veterinary sciences, 15. Life on land, 01 natural sciences, Algorithm, Wood quality, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.6: Segmentation, Computed Tomography, [INFO.INFO-TI] Computer Science [cs]/Image Processing [eess.IV], [INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV], [INFO.INFO-IM]Computer Science [cs]/Medical Imaging, Knottiness, 0401 agriculture, forestry, and fisheries, Sapwood, [SDV.SA.SF] Life Sciences [q-bio]/Agricultural sciences/Silviculture, forestry
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Quelle: EISSN: 2543-8050 ; Advanced Research in Life Sciences ; https://hal.archives-ouvertes.fr/hal-03030414 ; Advanced Research in Life Sciences, Sciendo, 2020, 4 (1), pp.70-78. ⟨10.2478/arls-2020-0021⟩
Schlagwörter: Landsat TM, QGIS, NDVI, Vegetation Index, Cartography, ACM: I.: Computing Methodologies, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.10: Image Representation, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.6: Segmentation, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION, ACM: I.: Computing Methodologies/I.6: SIMULATION AND MODELING, ACM: K.: Computing Milieux/K.3: COMPUTERS AND EDUCATION, ACM: K.: Computing Milieux/K.8: PERSONAL COMPUTING, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.0: General, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.1: Digitization and Image Capture, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.3: Enhancement, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.2: Compression (Coding), ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.8: Scene Analysis, [SDE]Environmental Sciences, [SDE.BE]Environmental Sciences/Biodiversity and Ecology, [SDE.ES]Environmental Sciences/Environmental and Society, [SDE.MCG]Environmental Sciences/Global Changes, [SDE.IE]Environmental Sciences/Environmental Engineering, [SDU.STU]Sciences of the Universe [physics]/Earth Sciences, [SDV.BIBS]Life Sciences [q-bio]/Quantitative Methods [q-bio.QM], [SDV.BDD]Life Sciences [q-bio]/Development Biology, [SDV.BID]Life Sciences [q-bio]/Biodiversity, [SDV.EE]Life Sciences [q-bio]/Ecology, environment, [SDV.EE.ECO]Life Sciences [q-bio]/Ecology
Relation: hal-03030414; https://hal.archives-ouvertes.fr/hal-03030414; https://hal.archives-ouvertes.fr/hal-03030414/document; https://hal.archives-ouvertes.fr/hal-03030414/file/25438050%20-%20Advanced%20Research%20in%20Life%20Sciences%20Hyperspectral%20Vegetation%20Indices.pdf
Verfügbarkeit: https://hal.archives-ouvertes.fr/hal-03030414
https://hal.archives-ouvertes.fr/hal-03030414/document
https://hal.archives-ouvertes.fr/hal-03030414/file/25438050%20-%20Advanced%20Research%20in%20Life%20Sciences%20Hyperspectral%20Vegetation%20Indices.pdf
https://doi.org/10.2478/arls-2020-0021 -
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Quelle: Pattern Analysis and Application
Schlagwörter: ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.6: Segmentation/I.4.6.2: Region growing, télédétection, logiciel, 02 engineering and technology, [INFO.INFO-DM]Computer Science [cs]/Discrete Mathematics [cs.DM], analyse d'image, couverture végétale, modèle mathématique, partitioning, Textons, Scale-invariant features, couverture du sol, 0202 electrical engineering, electronic engineering, information engineering, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.6: Segmentation/I.4.6.1: Pixel classification, Supervised segmentation, 15. Life on land, Q-Shift Dual-Tree Complex Wavelet Transform (DT-CWT), [INFO.INFO-DM] Computer Science [cs]/Discrete Mathematics [cs.DM], Texture analysis, Rotation-invariant features, Support vector machine (SVM), P01 - Conservation de la nature et ressources foncières, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.7: Feature Measurement/I.4.7.5: Texture, U30 - Méthodes de recherche
Dateibeschreibung: text
Zugangs-URL: https://link.springer.com/article/10.1007/s10044-015-0491-1
https://hal-lirmm.ccsd.cnrs.fr/lirmm-01168016
https://agritrop.cirad.fr/576275/
https://dblp.uni-trier.de/db/journals/paa/paa20.html#KennelFB17
https://dl.acm .org/doi/10.1007/s10044-015-0491-1
http://agritrop.cirad.fr/576275/
http://agritrop.cirad.fr/576275/7/art%3A10.1007%2Fs10044-015-0491-1.pdf
https://hal-lirmm.ccsd.cnrs.fr/lirmm-01168016v1
https://doi.org/10.1007/s10044-015-0491-1 -
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Weitere Verfasser: et al.
Quelle: Reality - the Sum of Information Technologies ; https://hal.archives-ouvertes.fr/hal-01974739 ; Reality - the Sum of Information Technologies, South West State University (YuZGU), Dec 2015, Kursk, Russia. pp.100-104, ⟨10.6084/m9.figshare.7210346⟩ ; https://elibrary.ru/item.asp?id=25489451
Schlagwörter: Image classification, Satellite image interpretation, Landsat TM and ETM data, Landsat Imagery, Land cover mapping, GIS & Spatial Analyses, Image segmentation, Mapping Modeling, SIG Raster, SIG et modélisation spatiale, SIG Systèmes d'information géographique, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.7: Feature Measurement, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.3: Clustering, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.3: Clustering/I.5.3.0: Algorithms, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.3: Clustering/I.5.3.1: Similarity measures, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.0: General, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.0: General/I.4.0.0: Image displays, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.0: General/I.4.0.1: Image processing software, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.3: Enhancement, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.3: Enhancement/I.4.3.0: Filtering, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.3: Enhancement/I.4.3.1: Geometric correction, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.6: Segmentation, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.6: Segmentation/I.4.6.1: Pixel classification, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.8: Scene Analysis, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.8: Scene Analysis/I.4.8.0: Color, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.8: Scene Analysis/I.4.8.3: Object recognition, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.10: Image Representation, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.10: Image Representation/I.4.10.3: Statistical
Relation: hal-01974739; https://hal.archives-ouvertes.fr/hal-01974739; https://hal.archives-ouvertes.fr/hal-01974739/document; https://hal.archives-ouvertes.fr/hal-01974739/file/Lemenkova_Techn_Approach.pdf
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Autoren: et al.
Weitere Verfasser: et al.
Quelle: International Conference in Computing in Cardiology ; https://inria.hal.science/hal-02368810 ; International Conference in Computing in Cardiology, Sep 2019, Singapore, Singapore. pp.4 ; http://cinc2019.org
Schlagwörter: Topology-based image analysis, segmentation methodologies, FEM simulation, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.0: General/I.4.0.1: Image processing software, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.6: Segmentation, ACM: I.: Computing Methodologies/I.6: SIMULATION AND MODELING, [INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation
Geographisches Schlagwort: Singapore
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Autoren: et al.
Weitere Verfasser: et al.
Quelle: ISSN: 1861-6410.
Schlagwörter: guiding catheter, mathematical morphology, cardiology, Percutaneous coronary intervention, segmentation, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.6: Segmentation/I.4.6.0: Edge and feature detection, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.6: Segmentation, [INFO.INFO-IM]Computer Science [cs]/Medical Imaging, [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing, [SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/Imaging
Relation: info:eu-repo/semantics/altIdentifier/pmid/28534311; PUBMED: 28534311
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Quelle: Acta Biologica Marisiensis ; https://hal.archives-ouvertes.fr/hal-02986272 ; Acta Biologica Marisiensis, 2020, 3 (2), pp.10 - 21. ⟨10.2478/abmj-2020-0007⟩ ; https://abmj.ro/uncategorized/saga-gis-for-information-extraction-on-presence-and-conditions-of-vegetation-of-northern-coast-of-iceland-based-on-the-landsat-tm/
Schlagwörter: Iceland, Landsat TM, SAGA GIS, cartography, vegetation index, machine learning, automatization, mapping, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION, ACM: I.: Computing Methodologies/I.3: COMPUTER GRAPHICS, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.6: Segmentation/I.4.6.3: Relaxation, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.8: Scene Analysis, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.8: Scene Analysis/I.4.8.0: Color, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.8: Scene Analysis/I.4.8.1: Depth cues, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.10: Image Representation, ACM: I.: Computing Methodologies/I.6: SIMULATION AND MODELING, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.4: Applications, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.5: Implementation, ACM: I.: Computing Methodologies/I.2: ARTIFICIAL INTELLIGENCE, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.2: Compression (Coding), ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.1: Digitization and Image Capture, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.0: General, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.6: Segmentation, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.6: Segmentation/I.4.6.1: Pixel classification, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.6: Segmentation/I.4.6.0: Edge and feature detection, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.6: Segmentation/I.4.6.2: Region growing, partitioning, [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI], [SDE]Environmental Sciences
Relation: hal-02986272; https://hal.archives-ouvertes.fr/hal-02986272; https://hal.archives-ouvertes.fr/hal-02986272/document; https://hal.archives-ouvertes.fr/hal-02986272/file/10.2478_abmj-2020-0007.pdf
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Weitere Verfasser: et al.
Quelle: Proceedings of 5th International Research Conference, Belarus State University (BSU) ; Modern Problems of Geoecology and Landscapes Studies ; https://hal.archives-ouvertes.fr/hal-02000858 ; Modern Problems of Geoecology and Landscapes Studies, Belarus State University (BSU), Oct 2014, Minsk, Belarus. pp.74-76, ⟨10.6084/m9.figshare.7211870⟩ ; https://geo.bsu.by/index.php/nauka/konferentsii/370-sovremennye-problemy-landshaftovedeniya-i-geoekologii.html
Schlagwörter: GIS Climat Environnement Société, GIS & Spatial Analyses, Remote sensing and GIS, Image processing Pattern recognition, Raster images, Clustering Analysis, Clustering Algorithms, Clustering, Clustering Algorithm, GIS Data Modelling, Landsat Imagery, Landsat 7 ETM+, Landsat ETM+, Image processing, Image processing Digital image processing, SIG Systèmes d'information géographique, SIG et modélisation spatiale, ACM: I.: Computing Methodologies, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.3: Enhancement, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.3: Enhancement/I.4.3.0: Filtering, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.3: Enhancement/I.4.3.3: Registration, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.3: Enhancement/I.4.3.1: Geometric correction, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.3: Enhancement/I.4.3.5: Smoothing, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.6: Segmentation, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.6: Segmentation/I.4.6.0: Edge and feature detection, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.6: Segmentation/I.4.6.1: Pixel classification, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.6: Segmentation/I.4.6.2: Region growing, partitioning, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.8: Scene Analysis
Relation: hal-02000858; https://hal.archives-ouvertes.fr/hal-02000858; https://hal.archives-ouvertes.fr/hal-02000858/document; https://hal.archives-ouvertes.fr/hal-02000858/file/Lemenkova_Minsk2014.pdf
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Quelle: IEEE International Symposium on Biomedical Imaging ISBI'17 ; https://hal.science/hal-01498629 ; IEEE International Symposium on Biomedical Imaging ISBI'17, Apr 2017, Melbourne, Australia ; https://biomedicalimaging.org/2017/
Schlagwörter: Random Regression Forests, Organ Localization, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.6: Segmentation, [INFO]Computer Science [cs], [INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV]
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