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.
Original language | English |
---|---|
Title of host publication | Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 3: VISAPP |
Publisher | SCITEPRESS Digital Library |
Publication date | 2016 |
Pages | 110-117 |
ISBN (Print) | 978-989-758-175-5 |
DOIs | |
Publication status | Published - 2016 |
Event | 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Rome, Italy Duration: 26 Mar 2015 → 29 Feb 2016 http://www.grapp.visigrapp.org/ |
Conference
Conference | 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications |
---|---|
Country/Territory | Italy |
City | Rome |
Period | 26/03/2015 → 29/02/2016 |
Internet address |