Senin, Nicola, Leach, Richard K., Pini, Stefano and Blunt, Liam A. (2015) Texture-based segmentation with Gabor filters, wavelet and pyramid decompositions for extracting individual surface features from areal surface topography maps. Measurement Science and Technology, 26 (9). 095405. ISSN 0957-0233Metadata only available from this repository.
Areal topography segmentation plays a fundamental role in those surface metrology applications concerned with the characterisation of individual topography features. Typical scenarios include the dimensional inspection and verification of micro-structured surface features, and the identification and characterisation of localised defects and other random singularities. While morphological segmentation into hills or dales is the only partitioning operation currently endorsed by the ISO specification standards on surface texture metrology, many other approaches are possible, in particular adapted from the literature on digital image segmentation. In this work an original segmentation approach is introduced and discussed, where topography partitioning is driven by information collected through the application of texture characterisation transforms popular in digital image processing. Gabor filters, wavelets and pyramid decompositions are investigated and applied to a selected set of test cases. The behaviour, performance and limitations of the proposed approach are discussed from the viewpoint of the identification and extraction of individual surface topography features.
|Subjects:||Q Science > Q Science (General)
T Technology > T Technology (General)
|Schools:||School of Computing and Engineering
School of Computing and Engineering > Centre for Precision Technologies
School of Computing and Engineering > Centre for Precision Technologies > Surface Metrology Group
|Depositing User:||Sharon Beastall|
|Date Deposited:||11 Nov 2015 10:30|
|Last Modified:||11 Nov 2015 10:30|
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