Počet záznamů: 1  

Sub-aperture stitching for data measured on spherical and aspherical lenses using interferometry

  1. 1.
    0469293 - ÚFP 2017 RIV US eng C - Konferenční příspěvek (zahraniční konf.)
    Stašík, Marek
    Sub-aperture stitching for data measured on spherical and aspherical lenses using interferometry.
    Proceedings of SPIE 10151, Optics and Measurement International Conference 2016. Vol. 10151. Bellingham: SPIE, Society of Photo-Optical Instrumentation Engineers, 2016 - (Kovačičinová, J.), č. článku 101511C. SPIE. ISBN 978-1-5106-0753-8. ISSN 0277-786X.
    [OAM 2016, Optics and Measurement International Conference 2016. Liberec (CZ), 11.10.2016-14.10.2016]
    Grant CEP: GA MŠMT(CZ) LO1206; GA TA ČR(CZ) TA03010893
    Institucionální podpora: RVO:61389021
    Klíčová slova: sub-aperture * stitching * lens * surface shape * computational complexity optimisation
    Kód oboru RIV: JA - Elektronika a optoelektronika, elektrotechnika
    Web výsledku:
    http://dx.doi.org/10.1117/12.2257320DOI: https://doi.org/10.1117/12.2257320

    In order to measure an optical lens surface shape using optical interference with sufficient accuracy, it is usually necessary divide area into sub-apertures and then captures each sector separately. When the data are acquired, it is necessary to merge elements together for further analysis. This paper is primary about stitching sub-apertures on spherical and aspherical optical lens. The main content of this paper is mostly the description of a stitching procedure and troubleshooting during process. The paper for example contains a description how sub-apertures tilt was compensated and how sub-apertures rotation was solved. Another topic in this paper is dealing with final adjustment during stitching. The paper contains description for used algorithms. For example an algorithm for finding a sub-aperture centre and algorithm for overlap deviation evaluation are included in this paper. Very useful part in this paper is the description of used computational complexity optimisation methods. And finally real measured and processed data are presented.
    Trvalý link: http://hdl.handle.net/11104/0267099
     
Počet záznamů: 1  

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