Tsaftaris, Sotirios A. and Zujovic, Jana and Katsaggelos, Aggelos K. Automated line flattening of Atomic Force Microscopy images. In: IEEE International conference on image processing (ICIP 2008). IEEE, 2968 -2971. ISBN 978-1-4244-1765-0 (2008)
Full text not available from this repository.Abstract
In this paper, an automated algorithm to flatten lines from Atomic Force Microscopy (AFM) images is presented. Due to the mechanics of the AFM, there is a curvature distortion (bowing effect) present in the acquired images. At present, flattening such images requires human intervention to manually segment object data from the background, which is time consuming and highly inaccurate. The proposed method classifies the data into objects and background, and fits convex lines in an iterative fashion. Results on real images from DNA wrapped carbon nanotubes (DNA-CNTs) and synthetic experiments are presented, demonstrating the effectiveness of the proposed algorithm in increasing the resolution of the surface topography.
| Item Type: | Book Section |
|---|---|
| Identification Number: | https://doi.org/10.1109/ICIP.2008.4712418 |
| Uncontrolled Keywords: | AFM mechanics; DNA wrapped carbon nanotube; atomic force microscopy image; automated line flattening; curve fitting; object data segmentation; object detection; polynomial approximation; surface topography; atomic force microscopy; carbon nanotubes; curve fitting; image segmentation; object detection; polynomial approximation; surface topography; |
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science T Technology > TK Electrical engineering. Electronics Nuclear engineering |
| Research Area: | Computer Science and Applications |
| Depositing User: | Users 35 not found. |
| Date Deposited: | 05 Sep 2011 14:51 |
| Last Modified: | 05 Mar 2013 15:46 |
| URI: | http://eprints.imtlucca.it/id/eprint/821 |
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