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Dynamic speckle analysis with smoothed intensity-based activity maps

Tutkimustuotosvertaisarvioitu

Standard

Dynamic speckle analysis with smoothed intensity-based activity maps. / Stoykova, Elena; Berberova, Natalia; Kim, Youngmin; Nazarova, Dimana; Ivanov, Branimir; Gotchev, Atanas; Hong, Jisoo; Kang, Hoonjong.

julkaisussa: Optics and Lasers in Engineering, Vuosikerta 93, 01.06.2017, s. 55-65.

Tutkimustuotosvertaisarvioitu

Harvard

Stoykova, E, Berberova, N, Kim, Y, Nazarova, D, Ivanov, B, Gotchev, A, Hong, J & Kang, H 2017, 'Dynamic speckle analysis with smoothed intensity-based activity maps', Optics and Lasers in Engineering, Vuosikerta. 93, Sivut 55-65. https://doi.org/10.1016/j.optlaseng.2017.01.012

APA

Stoykova, E., Berberova, N., Kim, Y., Nazarova, D., Ivanov, B., Gotchev, A., ... Kang, H. (2017). Dynamic speckle analysis with smoothed intensity-based activity maps. Optics and Lasers in Engineering, 93, 55-65. https://doi.org/10.1016/j.optlaseng.2017.01.012

Vancouver

Stoykova E, Berberova N, Kim Y, Nazarova D, Ivanov B, Gotchev A et al. Dynamic speckle analysis with smoothed intensity-based activity maps. Optics and Lasers in Engineering. 2017 kesä 1;93:55-65. https://doi.org/10.1016/j.optlaseng.2017.01.012

Author

Stoykova, Elena ; Berberova, Natalia ; Kim, Youngmin ; Nazarova, Dimana ; Ivanov, Branimir ; Gotchev, Atanas ; Hong, Jisoo ; Kang, Hoonjong. / Dynamic speckle analysis with smoothed intensity-based activity maps. Julkaisussa: Optics and Lasers in Engineering. 2017 ; Vuosikerta 93. Sivut 55-65.

Bibtex - Lataa

@article{accfa5ca39334d879b0b05c301d8dbfd,
title = "Dynamic speckle analysis with smoothed intensity-based activity maps",
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.",
keywords = "Digital image processing, Dynamic speckle, Speckle, Speckle metrology",
author = "Elena Stoykova and Natalia Berberova and Youngmin Kim and Dimana Nazarova and Branimir Ivanov and Atanas Gotchev and Jisoo Hong and Hoonjong Kang",
year = "2017",
month = "6",
day = "1",
doi = "10.1016/j.optlaseng.2017.01.012",
language = "English",
volume = "93",
pages = "55--65",
journal = "Optics and Lasers in Engineering",
issn = "0143-8166",
publisher = "Elsevier",

}

RIS (suitable for import to EndNote) - Lataa

TY - JOUR

T1 - Dynamic speckle analysis with smoothed intensity-based activity maps

AU - Stoykova, Elena

AU - Berberova, Natalia

AU - Kim, Youngmin

AU - Nazarova, Dimana

AU - Ivanov, Branimir

AU - Gotchev, Atanas

AU - Hong, Jisoo

AU - Kang, Hoonjong

PY - 2017/6/1

Y1 - 2017/6/1

N2 - 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.

AB - 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.

KW - Digital image processing

KW - Dynamic speckle

KW - Speckle

KW - Speckle metrology

U2 - 10.1016/j.optlaseng.2017.01.012

DO - 10.1016/j.optlaseng.2017.01.012

M3 - Article

VL - 93

SP - 55

EP - 65

JO - Optics and Lasers in Engineering

JF - Optics and Lasers in Engineering

SN - 0143-8166

ER -