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Related Concept Videos

Methods of Obtaining Topography01:25

Methods of Obtaining Topography

108
Topography involves measuring and mapping land elevations, natural features, and artificial structures to create accurate representations of the terrain. Topographic surveying relies on traditional and modern methods, each with distinct advantages and limitations.Traditional Surveying Methods:Transit stadia surveys and plane table surveys were widely used traditional surveying methods. These techniques relied on instruments like theodolites and stadia rods for measuring distances and angles,...
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Thresholding Methods for Reduction in Data Processing Errors in the Laser-Textured Surface Topography Measurements.

Przemysław Podulka1

  • 1Department of Manufacturing and Production Engineering, Faculty of Mechanical Engineering and Aeronautics, Rzeszow University of Technology, Powstancow Warszawy 12 Str, PL-35959 Rzeszow, Poland.

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Summary

This study introduces thresholding methods to reduce errors in surface topography measurements caused by high-frequency noise. Combining thresholding with the Fast Fourier Transform filter significantly improves noise reduction for laser-textured surfaces.

Keywords:
data analysisdata processing errorslaser texturingsurface texturesurface topography measurementthresholding

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Area of Science:

  • Metrology
  • Surface Science
  • Data Processing

Background:

  • Surface topography measurement accuracy is challenged by high-frequency noise and vibrations.
  • Extracting noise from measured data is difficult, often requiring skilled users and potentially leading to errors.
  • Existing commercial software methods for noise reduction can be complex and prone to user-induced errors.

Purpose of the Study:

  • To propose and compare various thresholding methods for minimizing errors in raw surface topography data.
  • To evaluate these methods against commonly used commercial software techniques for noise reduction.
  • To assess the effectiveness of thresholding in conjunction with standard filters for surface topography analysis.

Main Methods:

  • Development and application of novel thresholding methods for error minimization.
  • Comparison of thresholding techniques with established filters like Gaussian regression and Fast Fourier Transform (FFT).
  • Analysis of laser-textured surfaces to evaluate noise reduction and parameter calculation accuracy (ISO 25178).

Main Results:

  • Commonly used algorithms can be effective for surface topography data processing when supported by appropriate procedures.
  • Thresholding methods, when integrated with regular algorithms, demonstrably reduce errors in measurement and data processing.
  • The Fast Fourier Transform filter, enhanced by a thresholding approach, yielded the most promising results for high-frequency noise reduction in laser-textured surfaces.

Conclusions:

  • Thresholding methods offer a viable approach to enhance the accuracy of surface topography measurements.
  • The combination of thresholding with FFT filtering is particularly effective for analyzing complex surfaces like laser-textured ones.
  • Integrating thresholding supports existing algorithms, improving overall data integrity and reducing processing errors.