Validation of the fisheye camera method for spatial non-uniformity corrections in luminous flux measurements with integrating spheres

Alexander Kokka; Tomi Pulli; Alejandro Ferrero; Paul Dekker; Anders Thorseth; Petr  Kliment; Adam Klej; Thorsten Gerlof; Klaus  Ludwig; Tuomas  Poikonen; Erkki Ikonen

doi:10.1088/1681-7575/ab17fe

Validation of the fisheye camera method for spatial non-uniformity corrections in luminous flux measurements with integrating spheres

Alexander Kokka^*
, Tomi Pulli
, Alejandro Ferrero
, Paul Dekker
, Anders Thorseth
, Petr Kliment
, Adam Klej
, Thorsten Gerlof
, Klaus Ludwig
, Tuomas Poikonen
, Erkki Ikonen

^*Corresponding author for this work

Aalto University
CSIC
Dutch National Metrology Institute
Czech Metrology Institute
Philips Lighting
Physikalisch-Technische Bundesanstalt
OSRAM Licht AG
VTT Technical Research Centre of Finland Ltd.

Research output: Contribution to journal › Journal article › Research › peer-review

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Abstract

In this paper, the fisheye camera method is validated for spatial nonuniformity corrections in luminous flux measurements with integrating spheres. The method was tested in eight integrating spheres with six LED lamps, and the determined angular intensity distributions and spatial non-uniformity correction factors were compared with the results of five goniophotometers. The average closeness score, describing the similarity between any two distributions, was 94.6 out of 100 for the distributions obtained using the fisheye camera method when compared with the goniophotometric results. The average closeness score for the five goniophotometers, when each goniophotometer was compared with the other four, was 96.6. On average, the relative deviation between the two methods was 0.05% when calculating the spatial corrections. The most significant sources of uncertainty for the fisheye camera method were large, view-obstructing sphere elements residing close to the camera port.

Original language	English
Article number	045002
Journal	Metrologia
Volume	56
Issue number	4
Number of pages	10
ISSN	0026-1394
DOIs	https://doi.org/10.1088/1681-7575/ab17fe
Publication status	Published - 2019

Keywords

Fisheye camera method
Integrating spheres
Luminous flux
Spatial correction
Angular intensity distribution
Photometry
Measurement uncertainty

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10.1088/1681-7575/ab17fe

Kokka 2019 Metrologia 56 045002Final published version, 3.14 MB

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PhotoLED: EMPIR 15SIB07 PhotoLED, Future photometry based on solid-state lighting products
Thorseth, A. (Project Participant), Lindén, J. (Project Participant), Dam-Hansen, C. (Project Participant) & Corell, D. D. (Project Participant)
01/09/2016 → 01/09/2019
Project: Research

File

1 Membership of commitees, commissions, boards, councils, associations, organisations, or similar
1 Talks and presentations in private or public companies and organisations

EMPIR PhotoLED - Summary of project results
Thorseth, A. (Speaker) & Dam-Hansen, C. (Other)
8 Oct 2019
Activity: Talks and presentations › Talks and presentations in private or public companies and organisations
CIE TC 2-79: Integrating Sphere Photometry and Spectroradiometry (External organisation)
Thorseth, A. (Member)
6 Apr 2016 → …
Activity: Membership › Membership of commitees, commissions, boards, councils, associations, organisations, or similar

Cite this

@article{2b3ad67cacda4bb1b39e558984ebe9d4,

title = "Validation of the fisheye camera method for spatial non-uniformity corrections in luminous flux measurements with integrating spheres",

abstract = "In this paper, the fisheye camera method is validated for spatial nonuniformity corrections in luminous flux measurements with integrating spheres. The method was tested in eight integrating spheres with six LED lamps, and the determined angular intensity distributions and spatial non-uniformity correction factors were compared with the results of five goniophotometers. The average closeness score, describing the similarity between any two distributions, was 94.6 out of 100 for the distributions obtained using the fisheye camera method when compared with the goniophotometric results. The average closeness score for the five goniophotometers, when each goniophotometer was compared with the other four, was 96.6. On average, the relative deviation between the two methods was 0.05\% when calculating the spatial corrections. The most significant sources of uncertainty for the fisheye camera method were large, view-obstructing sphere elements residing close to the camera port.",

keywords = "Fisheye camera method, Integrating spheres, Luminous flux, Spatial correction, Angular intensity distribution, Photometry, Measurement uncertainty",

author = "Alexander Kokka and Tomi Pulli and Alejandro Ferrero and Paul Dekker and Anders Thorseth and Petr Kliment and Adam Klej and Thorsten Gerlof and Klaus Ludwig and Tuomas Poikonen and Erkki Ikonen",

year = "2019",

doi = "10.1088/1681-7575/ab17fe",

language = "English",

volume = "56",

journal = "Metrologia",

issn = "0026-1394",

publisher = "IOP Publishing",

number = "4",

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TY - JOUR

T1 - Validation of the fisheye camera method for spatial non-uniformity corrections in luminous flux measurements with integrating spheres

AU - Kokka, Alexander

AU - Pulli, Tomi

AU - Ferrero, Alejandro

AU - Dekker, Paul

AU - Thorseth, Anders

AU - Kliment, Petr

AU - Klej, Adam

AU - Gerlof, Thorsten

AU - Ludwig, Klaus

AU - Poikonen, Tuomas

AU - Ikonen, Erkki

PY - 2019

Y1 - 2019

N2 - In this paper, the fisheye camera method is validated for spatial nonuniformity corrections in luminous flux measurements with integrating spheres. The method was tested in eight integrating spheres with six LED lamps, and the determined angular intensity distributions and spatial non-uniformity correction factors were compared with the results of five goniophotometers. The average closeness score, describing the similarity between any two distributions, was 94.6 out of 100 for the distributions obtained using the fisheye camera method when compared with the goniophotometric results. The average closeness score for the five goniophotometers, when each goniophotometer was compared with the other four, was 96.6. On average, the relative deviation between the two methods was 0.05% when calculating the spatial corrections. The most significant sources of uncertainty for the fisheye camera method were large, view-obstructing sphere elements residing close to the camera port.

AB - In this paper, the fisheye camera method is validated for spatial nonuniformity corrections in luminous flux measurements with integrating spheres. The method was tested in eight integrating spheres with six LED lamps, and the determined angular intensity distributions and spatial non-uniformity correction factors were compared with the results of five goniophotometers. The average closeness score, describing the similarity between any two distributions, was 94.6 out of 100 for the distributions obtained using the fisheye camera method when compared with the goniophotometric results. The average closeness score for the five goniophotometers, when each goniophotometer was compared with the other four, was 96.6. On average, the relative deviation between the two methods was 0.05% when calculating the spatial corrections. The most significant sources of uncertainty for the fisheye camera method were large, view-obstructing sphere elements residing close to the camera port.

KW - Fisheye camera method

KW - Integrating spheres

KW - Luminous flux

KW - Spatial correction

KW - Angular intensity distribution

KW - Photometry

KW - Measurement uncertainty

U2 - 10.1088/1681-7575/ab17fe

DO - 10.1088/1681-7575/ab17fe

M3 - Journal article

SN - 0026-1394

VL - 56

JO - Metrologia

JF - Metrologia

IS - 4

M1 - 045002

ER -

Validation of the fisheye camera method for spatial non-uniformity corrections in luminous flux measurements with integrating spheres

Abstract

Keywords

Access to Document

OpenUrl availability

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Projects

PhotoLED: EMPIR 15SIB07 PhotoLED, Future photometry based on solid-state lighting products

Activities

EMPIR PhotoLED - Summary of project results

CIE TC 2-79: Integrating Sphere Photometry and Spectroradiometry (External organisation)

Cite this