RGB-D microtopography: A comprehensive dataset for surface analysis and characterization techniques
The dataset presented contains microtopographies of various materials and processing methods. These microtopographies were measured using a Confocal Laser Scanning Microscope, which provides RGB-D data. This means the dataset comprises accurate height maps for each measurement and microscopic RGB im...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2023-06-01
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| Series: | Data in Brief |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2352340923002135 |
| _version_ | 1797798081745387520 |
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| author | Stefan Siemens Markus Kästner Eduard Reithmeier |
| author_facet | Stefan Siemens Markus Kästner Eduard Reithmeier |
| author_sort | Stefan Siemens |
| collection | DOAJ |
| description | The dataset presented contains microtopographies of various materials and processing methods. These microtopographies were measured using a Confocal Laser Scanning Microscope, which provides RGB-D data. This means the dataset comprises accurate height maps for each measurement and microscopic RGB images. The height maps can be used to quantify and characterize small-scale surface features such as pits and grooves, surface roughness, texture direction, and surface anisotropy. These features can significantly impact a material's properties and behavior, making them essential in many fields, such as biomaterials and tribology. Additionally, the dataset contains metadata about the specimens and the measurement conditions, such as material, surface processing method, roughness, and optical magnification. Therefore, this dataset provides an opportunity to develop and test surface classification and characterization algorithms. |
| first_indexed | 2024-03-13T03:58:06Z |
| format | Article |
| id | doaj.art-827793897e354a8cab933ae11861b6f5 |
| institution | Directory Open Access Journal |
| issn | 2352-3409 |
| language | English |
| last_indexed | 2024-03-13T03:58:06Z |
| publishDate | 2023-06-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Data in Brief |
| spelling | doaj.art-827793897e354a8cab933ae11861b6f52023-06-22T05:03:33ZengElsevierData in Brief2352-34092023-06-0148109094RGB-D microtopography: A comprehensive dataset for surface analysis and characterization techniquesStefan Siemens0Markus Kästner1Eduard Reithmeier2Corresponding author.; Institute of Measurement and Automatic Control, Leibniz University Hannover, An der Universität 1, 30823 Garbsen, GermanyInstitute of Measurement and Automatic Control, Leibniz University Hannover, An der Universität 1, 30823 Garbsen, GermanyInstitute of Measurement and Automatic Control, Leibniz University Hannover, An der Universität 1, 30823 Garbsen, GermanyThe dataset presented contains microtopographies of various materials and processing methods. These microtopographies were measured using a Confocal Laser Scanning Microscope, which provides RGB-D data. This means the dataset comprises accurate height maps for each measurement and microscopic RGB images. The height maps can be used to quantify and characterize small-scale surface features such as pits and grooves, surface roughness, texture direction, and surface anisotropy. These features can significantly impact a material's properties and behavior, making them essential in many fields, such as biomaterials and tribology. Additionally, the dataset contains metadata about the specimens and the measurement conditions, such as material, surface processing method, roughness, and optical magnification. Therefore, this dataset provides an opportunity to develop and test surface classification and characterization algorithms.http://www.sciencedirect.com/science/article/pii/S2352340923002135MicrotopographySurface roughnessSurface classificationOptical metrologyConfocal laser scanning microscopyComputer vision |
| spellingShingle | Stefan Siemens Markus Kästner Eduard Reithmeier RGB-D microtopography: A comprehensive dataset for surface analysis and characterization techniques Data in Brief Microtopography Surface roughness Surface classification Optical metrology Confocal laser scanning microscopy Computer vision |
| title | RGB-D microtopography: A comprehensive dataset for surface analysis and characterization techniques |
| title_full | RGB-D microtopography: A comprehensive dataset for surface analysis and characterization techniques |
| title_fullStr | RGB-D microtopography: A comprehensive dataset for surface analysis and characterization techniques |
| title_full_unstemmed | RGB-D microtopography: A comprehensive dataset for surface analysis and characterization techniques |
| title_short | RGB-D microtopography: A comprehensive dataset for surface analysis and characterization techniques |
| title_sort | rgb d microtopography a comprehensive dataset for surface analysis and characterization techniques |
| topic | Microtopography Surface roughness Surface classification Optical metrology Confocal laser scanning microscopy Computer vision |
| url | http://www.sciencedirect.com/science/article/pii/S2352340923002135 |
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