Estimation of surface roughness parameters on a base of machined surface image /
ZAWADA-TOMKIEWICZ, Anna. Politechnika Koszalińska - Wydział Mechaniczny, Zakład Zarządzania i Marketingu w Budowie i Eksploatacji Maszyn 1996 - .
Estimation of surface roughness parameters on a base of machined surface image / Anna Zawada-Tomkiewicz.
Dane z autopsji.
Prediction of a machined surface parameters is an important factor in developing unmanned cutting centers. A new noncontact technique to assess the deferences in the quality of the product is of great need. The metod suggested in this paper is based on a machine vision system for surface roughness estimation. There have been wavelet methods introduced in the application for machined surface image analysis. Digital image of a machined surface was described with the use of one-dimensional Digital Wevelet Transform (Coiflet). The statistical description of particular wavelet decomposition levels made possible the estimation of surface roughness parameters with the use of recurrent neural networks.
Surface roughness.
Surface image.
Materiały konferencyjne.
Estimation of surface roughness parameters on a base of machined surface image / Anna Zawada-Tomkiewicz.
Dane z autopsji.
Prediction of a machined surface parameters is an important factor in developing unmanned cutting centers. A new noncontact technique to assess the deferences in the quality of the product is of great need. The metod suggested in this paper is based on a machine vision system for surface roughness estimation. There have been wavelet methods introduced in the application for machined surface image analysis. Digital image of a machined surface was described with the use of one-dimensional Digital Wevelet Transform (Coiflet). The statistical description of particular wavelet decomposition levels made possible the estimation of surface roughness parameters with the use of recurrent neural networks.
Surface roughness.
Surface image.
Materiały konferencyjne.