Dynamic speckle analysis with smoothed intensity-based activity maps

Elena Stoykova, Natalia Berberova, Youngmin Kim, Dimana Nazarova, Branimir Ivanov, Atanas Gotchev, Jisoo Hong, Hoonjong Kang

    Research output: Contribution to journalArticleScientificpeer-review

    12 Citations (Scopus)
    56 Downloads (Pure)

    Abstract

    Pointwise intensity-based algorithms are the most popular algorithms in dynamic laser speckle measurement of physical or biological activity. The output of this measurement is a two-dimensional map which qualitatively separates regions of higher or lower activity. In the paper, we have proposed filtering of activity maps to enhance visualization and to enable quantitative determination of activity time scales. As a first step, we have proved that the severe spatial fluctuations within the map resemble a signal-dependent noise. As a second step, we have illustrated implementation of the proposed idea by applying filters to non-normalized and normalized activity estimates derived from synthetic and experimental data. Statistical behavior of the estimates has been analyzed to choose the filter parameters, and substantial narrowing of the probability density functions of the estimates has been achieved after the filtering. The filtered maps exhibit an improved contrast and allowed for quantitative description of activity.

    Original languageEnglish
    Pages (from-to)55-65
    Number of pages11
    JournalOptics and Lasers in Engineering
    Volume93
    DOIs
    Publication statusPublished - 1 Jun 2017
    Publication typeA1 Journal article-refereed

    Keywords

    • Digital image processing
    • Dynamic speckle
    • Speckle
    • Speckle metrology

    Publication forum classification

    • Publication forum level 1

    ASJC Scopus subject areas

    • Electronic, Optical and Magnetic Materials
    • Atomic and Molecular Physics, and Optics
    • Mechanical Engineering
    • Electrical and Electronic Engineering

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