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    Modulated dark-field phasing detection for automatic optical inspection

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    092603_1.pdf
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    Author
    Choi, Heejoo
    Kam, John Mineo
    Berkson, Joel David
    Graves, Logan Rodriguez
    Kim, Dae Wook
    Affiliation
    Univ Arizona, James C Wyant Coll Opt Sci
    Univ Arizona, James C Wyant Coll Opt Sci, Opt Sci & Astron
    Univ Arizona, Dept Astron
    Univ Arizona, Steward Observ
    Issue Date
    2019-03-26
    Keywords
    automatic optical inspection
    particle detection
    dark field
    phase measurement
    
    Metadata
    Show full item record
    Publisher
    SPIE-SOC PHOTO-OPTICAL INSTRUMENTATION ENGINEERS
    Citation
    Heejoo Choi, John Mineo Kam, Joel David Berkson, Logan Rodriguez Graves, and Dae Wook Kim "Modulated dark-field phasing detection for automatic optical inspection," Optical Engineering 58(9), 092603 (26 March 2019). https://doi.org/10.1117/1.OE.58.9.092603
    Journal
    OPTICAL ENGINEERING
    Rights
    Copyright © 2019 SPIE.
    Collection Information
    This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.
    Abstract
    Dark-field illumination is a simple yet elegant imaging technique that can be used to detect the presence of particles on a specular surface. However, the sensitivity of dark-field illumination to initial conditions affects its repeatability. This is problematic in cases where automation is desired. We present an improvement to the current method of using a modulation field that relies on phase calculations rather than intensity. As a result, we obtain a computational method that is insensitive to noise and provides clearly defined particle information, allowing a global threshold to be set for autonomous measurement purposes. After introducing the theory behind our method, we present experimental results for various scenarios and compare them to those obtained using the dark-field approach.
    ISSN
    0091-3286
    DOI
    10.1117/1.oe.58.9.092603
    Version
    Final published version
    Sponsors
    II-VI Foundation Block-Gift Program; Technology Research Initiative Fund Optics/Imaging Program
    ae974a485f413a2113503eed53cd6c53
    10.1117/1.oe.58.9.092603
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    UA Faculty Publications

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