A Comparative Study of the Current 3D Motif Combination Methods

Jun Guo; Y. Gao; T. Xie

doi:10.4028/www.scientific.net/KEM.295-296.465

Paper Titles

Spline Filters for Surface Texture Analysis
p.441

Web-Based Virtual Measurement, Analysis and Evaluation Software Development for 3D Surface Topography
p.447

Texture Extraction and Identification of 3D Engineering Surfaces
p.453

Combination of M-Estimation and Gaussian Filtering for Characterizing 3D Engineering Surfaces
p.459

A Comparative Study of the Current 3D Motif Combination Methods
p.465

A New Three-Dimensional Profilometer for Surface Profile Measurement Using Digital Fringe Projection and Phase Shifting
p.471

A Two-Dimensional Surface Profile Imaging Technique Based on Heterodyne Interferometer
p.477

A Laser Sensor Technique for Measuring 3D Surfaces Based on the Polarized Heterodyne Astigmatic Principle
p.483

Development of a Large Range Nanometer Level Profilometer with Controlled Contact Force
p.489

HomeKey Engineering MaterialsKey Engineering Materials Vols. 295-296A Comparative Study of the Current 3D Motif...

A Comparative Study of the Current 3D Motif Combination Methods

Abstract:

As a special surface texture evaluation method, motif has received much attention since it was adopted as an ISO standard which is ISO12085 1996. However, like many other evaluation methods, it is based on 2 dimensional lines. The surface itself is three dimensional in nature. 3D motif evaluation should be more suitable. Until now, no 3D motif evaluation method has yet been proposed. A key issue is 3D motif combination to determine how the evaluation should be implemented. Three types of 3D MOTIF combination methods currently used are examined. Features such as algorithm complexity and application range are investigated. We conclude that the best 3D Motif combination method is not currently available. We should select a combination method based on the need for surface function analysis. Hybrid methods are also recommended.

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Periodical:

Key Engineering Materials (Volumes 295-296)

Pages:

465-470

DOI:

https://doi.org/10.4028/www.scientific.net/KEM.295-296.465

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Online since:

October 2005

Authors:

Jun Guo, Y. Gao, T. Xie

Keywords:

3D Motif, Algorithm Complexity, Combination Method, Robustness, Surface Texture Evaluation

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