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    Depth-independent segmentation of macroscopic three-dimensional objects encoded in single perspectives of digital holograms


    McElhinney, Conor P. and McDonald, John and Castro, Albertina and Frauel, Yann and Javidi, Bahram and Naughton, Thomas J. (2007) Depth-independent segmentation of macroscopic three-dimensional objects encoded in single perspectives of digital holograms. Optics Letters, 32 (10). pp. 1229-1231. ISSN 0146-9592

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    Abstract

    We present a technique for performing segmentation of macroscopic three-dimensional objects recorded using in-line digital holography. We numerically reconstruct a single perspective of each object at a range of depths. At each point in the digital wavefront we calculate variance about a neighborhood. The maximum variance at each point over all depths is thresholded to classify it as an object pixel or a background pixel. Segmentation results for objects of low and high contrast are presented.

    Item Type: Article
    Keywords: Depth-independent segmentation; macroscopic three-dimensional objects; single perspectives; digital holograms;
    Academic Unit: Faculty of Science and Engineering > Computer Science
    Item ID: 8281
    Identification Number: https://doi.org/10.1364/OL.32.001229
    Depositing User: John McDonald
    Date Deposited: 02 Jun 2017 16:32
    Journal or Publication Title: Optics Letters
    Publisher: Optical Society of America
    Refereed: Yes
    Funders: Science Foundation Ireland, Enterprise Ireland, Irish Research Council for Science Engineering and Technology (IRCSET)
    URI:

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