Estimation of Surface Roughness Parameter Based on Machined Surface Image

Journal title

Metrology and Measurement Systems




No 3



machining ; surface roughness ; wavelet analysis ; neural networks

Divisions of PAS

Nauki Techniczne




Polish Academy of Sciences Committee on Metrology and Scientific Instrumentation




Artykuły / Articles


DOI: 10.2478/v10178-010-0041-5 ; ISSN 2080-9050, e-ISSN 2300-1941


Metrology and Measurement Systems; 2010; No 3; 493-503


Zawada-Tomkiewicz A. (2001), Classifying the wear of turning tools with neural networks, J. Mater. Proces. Tech, 109, 300. ; Adamczak S. (2010), Investigating advantages and disadvantages of the analysis of a geometrical surface structure with the use of Fourier and wavelet transform, Metrol. Meas. Syst, XVII, 2, 233. ; Azouzi R. (1997), On-line prediction of surface finish and dimensional deviation in turning using neural network based sensor fusion, Int. J. Mach. Tool. Manu, 37, 1201. ; Ho S. (2002), Accurate modelling and prediction of surface roughness by computer vision in turning operations using an adaptive neuro-fuzzy inference system, Int. J. Mach. Tool. Manu, 42, 1441. ; Zawada-Tomkiewicz A. (2004), Neural networks in surface roughness estimation, Image Processing & Communications, 9/3-4, 79. ; Zawada-Tomkiewicz A. (2006), The application of wavelet analysis in identification of surface roughness parameters, Advances in Manufacturing Science and Technology, 30/3, 79. ; Zawada-Tomkiewicz A. (2009), Machined surface image analysis when turning with modified cutting points, Int. J. Mach. Matchinability of Materials, 5/2-3, 278. ; Zawada-Tomkiewicz A. (2004), Introduction to the Wavelet Analysis of a Machined Surface Profile, Advances in Manufacturing Science and Technology, 28/ 2, 91. ; Makieła W. (2010), Evaluation of the methodology of basic wavelet selection of wavelet analysis of surface irregularities, PAK, 1, 32. ; Zawada-Tomkiewicz A. (2009), Wavelet packet decomposition of turned surface profile, PAK, 55/4, 243. ; Wang Z. (2002), A Universal Image Quality Index, IEEE Signal Processing Letters, 9/3, 81. ; Hassibi B. (1992), Second Order Derivatives for Network Pruning: Optimal Brain Surgeon, Advances in Neural Information Processing Systems, 5, 164. ; Zawada-Tomkiewicz A. (2004), The Application of Optimal Brain Surgeon Method for Optimization of Tool Wear Estimator Structure, Polioptymalizacja i Komputerowe Wspomaganie Projektowania III, WNT Warszawa, 218. ; Zawada-Tomkiewicz A. (2008), DAAAM Baltic Industrial Engineering, 285. ; Ljung L. (1987), System identification. Theory for the user. ; Tomkiewicz D. (2002), A measurement system for estimation of the water content in grain based on dynamic drying process model, Metrol. Meas. Syst, IX, 4, 401. ; Poniatowska M. (2009), Research on spatial interrelations of geometric deviations determined in coordinate measurements of free-form surfaces, Metrol. Meas. Syst, XVI, 3, 501.