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Approaches to Determine the Geometric Parameters of Liquid Droplets Using Digital Image Analysis. / Nazarov, N. A.; Baranov, I. N.; Miskiv, N. B. et al.

In: Optoelectronics, Instrumentation and Data Processing, Vol. 60, No. 2, 04.2024, p. 197-205.

Research output: Contribution to journal › Article › peer-review

Harvard

Nazarov, NA, Baranov, IN, Miskiv, NB & Starinskaya, EM 2024, 'Approaches to Determine the Geometric Parameters of Liquid Droplets Using Digital Image Analysis', Optoelectronics, Instrumentation and Data Processing, vol. 60, no. 2, pp. 197-205. https://doi.org/10.3103/S8756699024700237

APA

Nazarov, N. A., Baranov, I. N., Miskiv, N. B., & Starinskaya, E. M. (2024). Approaches to Determine the Geometric Parameters of Liquid Droplets Using Digital Image Analysis. Optoelectronics, Instrumentation and Data Processing, 60(2), 197-205. https://doi.org/10.3103/S8756699024700237

Vancouver

Nazarov NA, Baranov IN, Miskiv NB, Starinskaya EM. Approaches to Determine the Geometric Parameters of Liquid Droplets Using Digital Image Analysis. Optoelectronics, Instrumentation and Data Processing. 2024 Apr;60(2):197-205. doi: 10.3103/S8756699024700237

Author

Nazarov, N. A. ; Baranov, I. N. ; Miskiv, N. B. et al. / Approaches to Determine the Geometric Parameters of Liquid Droplets Using Digital Image Analysis. In: Optoelectronics, Instrumentation and Data Processing. 2024 ; Vol. 60, No. 2. pp. 197-205.

BibTeX

@article{e3a119021e384184908ce175bf063be5,
title = "Approaches to Determine the Geometric Parameters of Liquid Droplets Using Digital Image Analysis",
abstract = "Spray cooling, droplet interaction with complex surfaces, and droplet evaporation from solid walls are promising areas of research. These experiments require automated digital image processing, particularly when recording large amounts of video data. This paper presents methods for recognition of objects in digital images in order to obtain quantitative characteristics of evaporating droplets in low-light conditions. New algorithms have been developed to identify and close object boundaries in conditions of limited visibility, enabling measurement of the geometric parameters of evaporating droplets. A comparison is made with data obtained using manual image processing, and the usability conditions of the proposed algorithms are demonstrated.",
keywords = "boundary detection, convex hull algorithm, digital image processing, evaporating drops, polynomial boundary closure, sessile and suspended droplets",
author = "Nazarov, {N. A.} and Baranov, {I. N.} and Miskiv, {N. B.} and Starinskaya, {E. M.}",
note = "The study was supported by the Russian Science Foundation (project no. 19-79-30075).",
year = "2024",
month = apr,
doi = "10.3103/S8756699024700237",
language = "English",
volume = "60",
pages = "197--205",
journal = "Optoelectronics, Instrumentation and Data Processing",
issn = "8756-6990",
publisher = "Allerton Press Inc.",
number = "2",

}

RIS

TY - JOUR

T1 - Approaches to Determine the Geometric Parameters of Liquid Droplets Using Digital Image Analysis

AU - Nazarov, N. A.

AU - Baranov, I. N.

AU - Miskiv, N. B.

AU - Starinskaya, E. M.

N1 - The study was supported by the Russian Science Foundation (project no. 19-79-30075).

PY - 2024/4

Y1 - 2024/4

N2 - Spray cooling, droplet interaction with complex surfaces, and droplet evaporation from solid walls are promising areas of research. These experiments require automated digital image processing, particularly when recording large amounts of video data. This paper presents methods for recognition of objects in digital images in order to obtain quantitative characteristics of evaporating droplets in low-light conditions. New algorithms have been developed to identify and close object boundaries in conditions of limited visibility, enabling measurement of the geometric parameters of evaporating droplets. A comparison is made with data obtained using manual image processing, and the usability conditions of the proposed algorithms are demonstrated.

AB - Spray cooling, droplet interaction with complex surfaces, and droplet evaporation from solid walls are promising areas of research. These experiments require automated digital image processing, particularly when recording large amounts of video data. This paper presents methods for recognition of objects in digital images in order to obtain quantitative characteristics of evaporating droplets in low-light conditions. New algorithms have been developed to identify and close object boundaries in conditions of limited visibility, enabling measurement of the geometric parameters of evaporating droplets. A comparison is made with data obtained using manual image processing, and the usability conditions of the proposed algorithms are demonstrated.

KW - boundary detection

KW - convex hull algorithm

KW - digital image processing

KW - evaporating drops

KW - polynomial boundary closure

KW - sessile and suspended droplets

UR - https://www.scopus.com/record/display.uri?eid=2-s2.0-85199982883&origin=inward&txGid=7e45c97bee8bb496562177dba7ffd650

UR - https://www.mendeley.com/catalogue/a3393cd0-eea8-3427-98bd-16b86438a8db/

U2 - 10.3103/S8756699024700237

DO - 10.3103/S8756699024700237

M3 - Article

VL - 60

SP - 197

EP - 205

JO - Optoelectronics, Instrumentation and Data Processing

JF - Optoelectronics, Instrumentation and Data Processing

SN - 8756-6990

IS - 2

ER -

ID: 61057078