A method for multi-resolution characterization on porous surfaces by using a laser confocal scanning microscope

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OriginalspracheEnglisch
Seiten (von - bis)40-46
Seitenumfang7
FachzeitschriftOptics and Lasers in Engineering
Jahrgang74
PublikationsstatusVeröffentlicht - 27 Mai 2015

Abstract

In this paper, a new method for multi-resolution characterization is introduced to analyze porous surfaces on cylinder liners. The main purpose of this new approach is to investigate the influence of resolution and magnification of different optical lenses on measuring the 3D geometry of pores based on 3D microscopy topographical surface metrology. Two optical sensors (20× lens and 50× lens) have been applied to acquire the porous surface data for the primal investigation. A feature-based image matching algorithm is introduced for the purpose of registering identical microstructures in different datasets with different pixel resolutions. The correlation between the sensor's resolution and the numerical parameters' values regarding the pores geometry is studied statistically. Finally, the preliminary results of multi-resolution characterization are presented and the impact of using a sensor with higher resolution on measuring the same object is discussed.

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A method for multi-resolution characterization on porous surfaces by using a laser confocal scanning microscope. / Zou, Yibo; Kaestner, Markus; Reithmeier, Eduard.
in: Optics and Lasers in Engineering, Jahrgang 74, 27.05.2015, S. 40-46.

Publikation: Beitrag in FachzeitschriftArtikelForschungPeer-Review

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abstract = "In this paper, a new method for multi-resolution characterization is introduced to analyze porous surfaces on cylinder liners. The main purpose of this new approach is to investigate the influence of resolution and magnification of different optical lenses on measuring the 3D geometry of pores based on 3D microscopy topographical surface metrology. Two optical sensors (20× lens and 50× lens) have been applied to acquire the porous surface data for the primal investigation. A feature-based image matching algorithm is introduced for the purpose of registering identical microstructures in different datasets with different pixel resolutions. The correlation between the sensor's resolution and the numerical parameters' values regarding the pores geometry is studied statistically. Finally, the preliminary results of multi-resolution characterization are presented and the impact of using a sensor with higher resolution on measuring the same object is discussed.",
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author = "Yibo Zou and Markus Kaestner and Eduard Reithmeier",
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T1 - A method for multi-resolution characterization on porous surfaces by using a laser confocal scanning microscope

AU - Zou, Yibo

AU - Kaestner, Markus

AU - Reithmeier, Eduard

N1 - Funding information: The authors would like to thank the graduate school “Multiscale Methods of Interface Coupling” in Leibniz University of Hannover for the financial support.

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KW - Characterization

KW - Multi-resolution

KW - Porous surface

KW - Surface registration

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