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Authors: Mathias Vestergaard 1 ; Stefan Bengtson 1 ; Malte Pedersen 1 ; Christian Rankl 2 and Thomas B. Moeslund 1

Affiliations: 1 Aalborg University, Denmark ; 2 Keysight Technologies, United States

Keyword(s): Atomic Force Microscopy, RANSAC, Template Matching, Image Stitching.

Related Ontology Subjects/Areas/Topics: Computer Vision, Visualization and Computer Graphics ; Image and Video Analysis ; Image Enhancement and Restoration ; Image Formation and Preprocessing ; Segmentation and Grouping

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 several formats:
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 (VISIGRAPP 2016) - Volume 3: VISAPP; ISBN 978-989-758-175-5; ISSN 2184-4321, SciTePress, pages 110-117. DOI: 10.5220/0005716501100117

@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 (VISIGRAPP 2016) - Volume 3: VISAPP},
year={2016},
pages={110-117},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005716501100117},
isbn={978-989-758-175-5},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2016) - Volume 3: VISAPP
TI - Stitching Grid-wise Atomic Force Microscope Images
SN - 978-989-758-175-5
IS - 2184-4321
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
PB - SciTePress