Stitching Grid-wise Atomic Force Microscope Images

Mathias Vestergaard, Stefan Bengtson, Malte Pedersen, Christian Rankl, Thomas B. Moeslund

2016

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.

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Paper Citation


in Harvard Style

Vestergaard M., Bengtson S., Pedersen M., Rankl C. and Moeslund T. (2016). Stitching Grid-wise Atomic Force Microscope Images . In Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 3: VISAPP, (VISIGRAPP 2016) ISBN 978-989-758-175-5, pages 110-117. DOI: 10.5220/0005716501100117


in Bibtex Style

@conference{visapp16,
author={Mathias Vestergaard and Stefan Bengtson and Malte Pedersen and Christian Rankl and Thomas B. Moeslund},
title={Stitching Grid-wise Atomic Force Microscope Images},
booktitle={Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 3: VISAPP, (VISIGRAPP 2016)},
year={2016},
pages={110-117},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005716501100117},
isbn={978-989-758-175-5},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 3: VISAPP, (VISIGRAPP 2016)
TI - Stitching Grid-wise Atomic Force Microscope Images
SN - 978-989-758-175-5
AU - Vestergaard M.
AU - Bengtson S.
AU - Pedersen M.
AU - Rankl C.
AU - Moeslund T.
PY - 2016
SP - 110
EP - 117
DO - 10.5220/0005716501100117