A Boundary Segmentation Algorithm for Extracting Microscale Dimensional Parameters in the Measurement of Structured Surfaces

Jian Wang, X. Jiang, L. A. Blunt, P. J. Scott, R. K. Leach

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Measurement and characterisation techniques for structured surfaces are now under development. The recently published international standard ISO 25178-part 2, introduces feature characterisation that provides a stable solution for segmentation of areal geometric features. However, unambiguously understanding the boundaries of the areal features has received little attention. A boundary analysis method is proposed in this paper based on a tangent analysis algorithm. Following a four-stage feature characterisation procedure, dimensional parameters that relate to individual surface features, or relations between them, can be determined.

Original languageEnglish
Title of host publicationProceedings of the 12th International Conference of the European Society for Precision Engineering and Nanotechnology, EUSPEN 2012
Publishereuspen
Pages113-116
Number of pages4
Volume1
ISBN (Electronic)9780956679000
Publication statusPublished - 2012
Event12th International Conference of the European Society for Precision Engineering and Nanotechnology - Stockholm, Sweden
Duration: 4 Jun 20128 Jun 2012
Conference number: 12
https://conferencealerts.com/show-event?id=93329 (Link to Conference Details)

Conference

Conference12th International Conference of the European Society for Precision Engineering and Nanotechnology
Abbreviated titleEUSPEN 2012
CountrySweden
CityStockholm
Period4/06/128/06/12
Internet address

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Cite this

Wang, J., Jiang, X., Blunt, L. A., Scott, P. J., & Leach, R. K. (2012). A Boundary Segmentation Algorithm for Extracting Microscale Dimensional Parameters in the Measurement of Structured Surfaces. In Proceedings of the 12th International Conference of the European Society for Precision Engineering and Nanotechnology, EUSPEN 2012 (Vol. 1, pp. 113-116). euspen.