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

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Original languageEnglish
Pages (from-to)40-46
Number of pages7
JournalOptics and Lasers in Engineering
Volume74
Publication statusPublished - 27 May 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.

Keywords

    Characterization, Multi-resolution, Porous surface, Surface registration

ASJC Scopus subject areas

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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, Vol. 74, 27.05.2015, p. 40-46.

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title = "A method for multi-resolution characterization on porous surfaces by using a laser confocal scanning microscope",
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",
note = "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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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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