Abstract
The paper studies the possibility of application of a two-dimensional wavelet transform to analyse surface texture signals. The tests were directed at determining the impact of wavelet transformation parameters in the scope of using the wavelet analysis to separate the constituents of measured surface irregularities. The surface roughness signals obtained as a result of the Gaussian filter application and after wavelet decomposition were compared. Based on the obtained results, it was concluded that a wavelet transform may be used to separate 3D surface texture constituents.
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Acknowledgment
The paper has been elaborated within the framework of the research project entitled “Theoretical and experimental problems of integrated 3D measurements of elements’ surfaces”, reg. no.: 2015/19/B/ST8/02643, ID: 317012, financed by National Science Centre, Poland.
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Gogolewski, D., Makieła, W. (2019). Application of Wavelet Transform to Determine Surface Texture Constituents. In: Durakbasa, N., Gencyilmaz, M. (eds) Proceedings of the International Symposium for Production Research 2018. ISPR 2018. Springer, Cham. https://doi.org/10.1007/978-3-319-92267-6_19
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DOI: https://doi.org/10.1007/978-3-319-92267-6_19
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