Details
| Original language | English |
|---|---|
| Title of host publication | Optics and Photonics for Advanced Dimensional Metrology |
| Editors | Peter J. de Groot, Richard K. Leach, Pascal Picart |
| Number of pages | 6 |
| ISBN (electronic) | 9781510634763 |
| Publication status | Published - 1 Apr 2020 |
| Event | Optics and Photonics for Advanced Dimensional Metrology - Online Only, France Duration: 6 Apr 2020 → 10 Apr 2020 |
Publication series
| Name | Proceedings of SPIE - The International Society for Optical Engineering |
|---|---|
| Volume | 11352 |
| ISSN (Print) | 0277-786X |
| ISSN (electronic) | 1996-756X |
Abstract
The quality of optical measurements is significantly affected by the reflection properties of the measured component. Therefore, it is important to consider the properties of the reflective surface to obtain accurate measurement results. A common method for the mathematical representation of reflections is the bidirectional reflection distribution function (BRDF). Typically BRDFs are measured via a gonioreflectometer. However, these are often only applicable on flat specimens or objects with previously known geometric properties. This paper presents an approach for the measurement of the BRDF on inhomogeneous freeform surfaces. For this purpose, a robot-assisted multisensor system is used consisting of a fringe projection sensor and an industrial camera, which is modified with six light sources that are evenly distributed around the optical axis and point at the measuring object. The reflection measurement consists of the sequential image acquisition of individual lighting configurations by successively switched on light sources. With the assumption of isotropic surface properties and known position of each individual light source, the relative BRDF can be determined pixel by pixel. This enables the BRDF measurement of freeform surfaces with varying reflection properties. Knowing the transformation between both sensor coordinate systems, the resulting BRDF data can be projected onto the points of the fringe projection measurement for geometrical representation. As an application example, a damage characterization of surfaces, based on the measured BRDF data is presented. For this purpose, a worn turbine blade of an aircraft engine is characterized so that burnt regions on the components’ surface can be detected.
Keywords
- Bidirectional reflectance distribution function, Brdf, Free form surfaces, Gonioreflectometer, Industrial imaging, Reflection properties
ASJC Scopus subject areas
- Materials Science(all)
- Electronic, Optical and Magnetic Materials
- Physics and Astronomy(all)
- Condensed Matter Physics
- Mathematics(all)
- Applied Mathematics
- Engineering(all)
- Electrical and Electronic Engineering
- Computer Science(all)
- Computer Science Applications
Cite this
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- Harvard
- Apa
- Vancouver
- BibTeX
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Optics and Photonics for Advanced Dimensional Metrology. ed. / Peter J. de Groot; Richard K. Leach; Pascal Picart. 2020. 1135209 (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 11352).
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research
}
TY - GEN
T1 - Robot-assisted BRDF measurement and surface characterization of inhomogeneous freeform shapes
AU - Melchert, Nils
AU - Kästner, Markus
AU - Reithmeier, Eduard
N1 - Funding Information: The authors thank the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) for funding this study within the Collaborate Research Center – SFB 871/3 – 119193472 “Regeneration of complex capital goods”, subproject A2. In addition we would like to thank Zimo Yang for his valuable contribution to this work.
PY - 2020/4/1
Y1 - 2020/4/1
N2 - The quality of optical measurements is significantly affected by the reflection properties of the measured component. Therefore, it is important to consider the properties of the reflective surface to obtain accurate measurement results. A common method for the mathematical representation of reflections is the bidirectional reflection distribution function (BRDF). Typically BRDFs are measured via a gonioreflectometer. However, these are often only applicable on flat specimens or objects with previously known geometric properties. This paper presents an approach for the measurement of the BRDF on inhomogeneous freeform surfaces. For this purpose, a robot-assisted multisensor system is used consisting of a fringe projection sensor and an industrial camera, which is modified with six light sources that are evenly distributed around the optical axis and point at the measuring object. The reflection measurement consists of the sequential image acquisition of individual lighting configurations by successively switched on light sources. With the assumption of isotropic surface properties and known position of each individual light source, the relative BRDF can be determined pixel by pixel. This enables the BRDF measurement of freeform surfaces with varying reflection properties. Knowing the transformation between both sensor coordinate systems, the resulting BRDF data can be projected onto the points of the fringe projection measurement for geometrical representation. As an application example, a damage characterization of surfaces, based on the measured BRDF data is presented. For this purpose, a worn turbine blade of an aircraft engine is characterized so that burnt regions on the components’ surface can be detected.
AB - The quality of optical measurements is significantly affected by the reflection properties of the measured component. Therefore, it is important to consider the properties of the reflective surface to obtain accurate measurement results. A common method for the mathematical representation of reflections is the bidirectional reflection distribution function (BRDF). Typically BRDFs are measured via a gonioreflectometer. However, these are often only applicable on flat specimens or objects with previously known geometric properties. This paper presents an approach for the measurement of the BRDF on inhomogeneous freeform surfaces. For this purpose, a robot-assisted multisensor system is used consisting of a fringe projection sensor and an industrial camera, which is modified with six light sources that are evenly distributed around the optical axis and point at the measuring object. The reflection measurement consists of the sequential image acquisition of individual lighting configurations by successively switched on light sources. With the assumption of isotropic surface properties and known position of each individual light source, the relative BRDF can be determined pixel by pixel. This enables the BRDF measurement of freeform surfaces with varying reflection properties. Knowing the transformation between both sensor coordinate systems, the resulting BRDF data can be projected onto the points of the fringe projection measurement for geometrical representation. As an application example, a damage characterization of surfaces, based on the measured BRDF data is presented. For this purpose, a worn turbine blade of an aircraft engine is characterized so that burnt regions on the components’ surface can be detected.
KW - Bidirectional reflectance distribution function
KW - Brdf
KW - Free form surfaces
KW - Gonioreflectometer
KW - Industrial imaging
KW - Reflection properties
UR - http://www.scopus.com/inward/record.url?scp=85104544114&partnerID=8YFLogxK
U2 - 10.1117/12.2555808
DO - 10.1117/12.2555808
M3 - Conference contribution
T3 - Proceedings of SPIE - The International Society for Optical Engineering
BT - Optics and Photonics for Advanced Dimensional Metrology
A2 - de Groot, Peter J.
A2 - Leach, Richard K.
A2 - Picart, Pascal
T2 - Optics and Photonics for Advanced Dimensional Metrology
Y2 - 6 April 2020 through 10 April 2020
ER -