Abstract
Atomic Force Microscopes (AFM) are able to capture images with a resolution in the nano metre scale. Due to this high resolution, the covered area per image is relatively small, which can be problematic when surveying a sample. A system able to stitch AFM images has been developed to solve this problem. The images exhibit tilt, offset and scanner bow, which are counteracted by subtracting a polynomial from each line. To be able to stitch the images properly template selection is done by analyzing texture and using a voting scheme. Grids of 3x3 images have been successfully leveled and stitched.
Originalsprog | Engelsk |
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Titel | Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 3: VISAPP |
Forlag | SCITEPRESS Digital Library |
Publikationsdato | 2016 |
Sider | 110-117 |
ISBN (Trykt) | 978-989-758-175-5 |
DOI | |
Status | Udgivet - 2016 |
Begivenhed | 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Rome, Italien Varighed: 26 mar. 2015 → 29 feb. 2016 http://www.grapp.visigrapp.org/ |
Konference
Konference | 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications |
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Land/Område | Italien |
By | Rome |
Periode | 26/03/2015 → 29/02/2016 |
Internetadresse |