<abstract xmlns="http://www.w3.org/1999/xhtml"><p> The 3D reconstruction of simple structured materials using a confocal microscope is widely used in many different areas including civil engineering. Nonetheless, scans of porous materials such as concrete or cement paste are highly problematic. The well-known problem of these scans is low depth resolution in comparison to the horizontal and vertical resolution. The degradation of the image depth resolution is caused by systematic errors and especially by different random events. Our method is focused on the elimination of such random events, mainly the additive noise. We use an averaging method based on the Lindeberg-Lévy theorem that improves the final depth resolution to a level comparable with horizontal and vertical resolution. Moreover, using the least square method, we also precisely determine the limit value of a depth resolution. Therefore, we can continuously evaluate the difference between current resolution and the optimal one. This substantially simplifies the scanning process because the operator can easily determine the required number of scans.</p></abstract>

The 3D reconstruction of simple structured materials using a confocal microscope is widely used in many different areas including civil engineering. Nonetheless, scans of porous materials such as concrete or cement paste are highly problematic. The well-known problem of these scans is low depth resolution in comparison to the horizontal and vertical resolution. The degradation of the image depth resolution is caused by systematic errors and especially by different random events. Our method is focused on the elimination of such random events, mainly the additive noise. We use an averaging method based on the Lindeberg-Lévy theorem that improves the final depth resolution to a level comparable with horizontal and vertical resolution. Moreover, using the least square method, we also precisely determine the limit value of a depth resolution. Therefore, we can continuously evaluate the difference between current resolution and the optimal one. This substantially simplifies the scanning process because the operator can easily determine the required number of scans.

The Enhancement of 3D Scans Depth Resolution Obtained by Confocal Scanning of Porous Materials

Measurement Science Review

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

The 3D reconstruction of simple structured materials using a confocal microscope is widely used in many different areas including civil engineering....

The Enhancement of 3D Scans Depth Resolution Obtained by Confocal Scanning of Porous Materials

Online veröffentlicht: 22. Nov. 2017

Seitenbereich: 273 - 281

Eingereicht: 19. Mai 2017

Akzeptiert: 13. Nov. 2017

DOI: https://doi.org/10.1515/msr-2017-0034

Schlüsselwörter
Noise reduction, porous materials, confocal microscope, 3D scans, 3D reconstruction

© by Dalibor Martisek

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

The Enhancement of 3D Scans Depth Resolution Obtained by Confocal Scanning of Porous Materials

Online veröffentlicht: 22. Nov. 2017

Seitenbereich: 273 - 281

Eingereicht: 19. Mai 2017

Akzeptiert: 13. Nov. 2017

DOI: https://doi.org/10.1515/msr-2017-0034

SchlüsselwörterNoise reduction, porous materials, confocal microscope, 3D scans, 3D reconstruction

© by Dalibor Martisek

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Schlüsselwörter
Noise reduction, porous materials, confocal microscope, 3D scans, 3D reconstruction