Schneider M, Fey D (2014)
Publication Type: Conference contribution
Publication year: 2014
Publisher: Springer
Edited Volumes: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
City/Town: Portugal
Book Volume: 4
Pages Range: 522-537
Edition: 1
Conference Proceedings Title: Computational Science and Its Applications - ICCSA 2014
Event location: Guimaraes
ISBN: 978-3-319-09146-4
URI: http://www.springer.com/us/book/9783319091464
DOI: 10.1007/978-3-319-09147-1
The non-destructive and automatic 3D surface analysis using white-light interferometry has very high demands on the required computing systems. This is due to both, the high volume of data that are collected and the tremendous computational power, required by algorithms which evaluate the data. Furthermore, material characteristics and environmental influences like temperature or ambient light have a not negligible effect on the scan procedure, such that the algorithmic approaches must be adjusted to assess the correct surface profile. Thus, to obtain the desired analysis results and to fulfill the computational requirements, the application developer has to consider the physical characteristics of the white-light interferometry process as well as the attributes of the computational platform used. This paper describes the generic computational module of a new framework for the white-light interferometry surface scanning procedure to address these problems. This framework allows a user-transparent automatic assessment and usage of available computational resources. © 2014 Springer International Publishing.
APA:
Schneider, M., & Fey, D. (2014). A Generic Approach for Analysis of White-Light Interferometry Data via User-Defined Algorithms. In Computational Science and Its Applications - ICCSA 2014 (pp. 522-537). Guimaraes: Portugal: Springer.
MLA:
Schneider, Max, and Dietmar Fey. "A Generic Approach for Analysis of White-Light Interferometry Data via User-Defined Algorithms." Proceedings of the 14th International Conference On Computational Science and Its Applications, Guimaraes Portugal: Springer, 2014. 522-537.
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