Optimization of illumination profiles in line-scan camera systems

Pasi Karjalainen (Corresponding Author), Timo Lappalainen

Research output: Contribution to journalArticleScientificpeer-review

1 Citation (Scopus)

Abstract

A method for the optimization of illumination in line-scan camera systems is proposed. By using this method it is possible to calculate the optimal positions and luminous intensities of the light sources to obtain the desired illuminance at a surface. The proposed method is especially suitable for producing uniform illumination on a line. The method can be used with several types of light source, because experimental general models can be used for the lamps. The method is based on the regularized least squares optimization. The performance of the method is evaluated by comparing the calculated and measured illuminances before and after the optimization.
Original languageEnglish
Pages (from-to)1301 - 1306
Number of pages6
JournalMeasurement Science and Technology
Volume11
Issue number9
DOIs
Publication statusPublished - 2000
MoE publication typeA1 Journal article-refereed

Fingerprint

Illumination
illuminance
Lighting
Camera
Cameras
illumination
cameras
optimization
Light sources
Optimization
Line
light sources
profiles
Electric lamps
luminous intensity
luminaires
Least Squares
Profile
Calculate

Keywords

  • illumination
  • image processing
  • cameras
  • scanners
  • optimization
  • machine vision
  • lines
  • wood
  • timber
  • analysis

Cite this

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title = "Optimization of illumination profiles in line-scan camera systems",
abstract = "A method for the optimization of illumination in line-scan camera systems is proposed. By using this method it is possible to calculate the optimal positions and luminous intensities of the light sources to obtain the desired illuminance at a surface. The proposed method is especially suitable for producing uniform illumination on a line. The method can be used with several types of light source, because experimental general models can be used for the lamps. The method is based on the regularized least squares optimization. The performance of the method is evaluated by comparing the calculated and measured illuminances before and after the optimization.",
keywords = "illumination, image processing, cameras, scanners, optimization, machine vision, lines, wood, timber, analysis",
author = "Pasi Karjalainen and Timo Lappalainen",
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doi = "10.1088/0957-0233/11/9/307",
language = "English",
volume = "11",
pages = "1301 -- 1306",
journal = "Measurement Science and Technology",
issn = "0957-0233",
publisher = "Institute of Physics IOP",
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}

Optimization of illumination profiles in line-scan camera systems. / Karjalainen, Pasi (Corresponding Author); Lappalainen, Timo.

In: Measurement Science and Technology, Vol. 11, No. 9, 2000, p. 1301 - 1306.

Research output: Contribution to journalArticleScientificpeer-review

TY - JOUR

T1 - Optimization of illumination profiles in line-scan camera systems

AU - Karjalainen, Pasi

AU - Lappalainen, Timo

PY - 2000

Y1 - 2000

N2 - A method for the optimization of illumination in line-scan camera systems is proposed. By using this method it is possible to calculate the optimal positions and luminous intensities of the light sources to obtain the desired illuminance at a surface. The proposed method is especially suitable for producing uniform illumination on a line. The method can be used with several types of light source, because experimental general models can be used for the lamps. The method is based on the regularized least squares optimization. The performance of the method is evaluated by comparing the calculated and measured illuminances before and after the optimization.

AB - A method for the optimization of illumination in line-scan camera systems is proposed. By using this method it is possible to calculate the optimal positions and luminous intensities of the light sources to obtain the desired illuminance at a surface. The proposed method is especially suitable for producing uniform illumination on a line. The method can be used with several types of light source, because experimental general models can be used for the lamps. The method is based on the regularized least squares optimization. The performance of the method is evaluated by comparing the calculated and measured illuminances before and after the optimization.

KW - illumination

KW - image processing

KW - cameras

KW - scanners

KW - optimization

KW - machine vision

KW - lines

KW - wood

KW - timber

KW - analysis

U2 - 10.1088/0957-0233/11/9/307

DO - 10.1088/0957-0233/11/9/307

M3 - Article

VL - 11

SP - 1301

EP - 1306

JO - Measurement Science and Technology

JF - Measurement Science and Technology

SN - 0957-0233

IS - 9

ER -