Open Access
Subscription or Fee Access
On The Performance of Bilateral Filters in Denoising of Machined Surface Images
Abstract
Surface roughness measurement by machine vision is gaining more importance now a day due to its accuracy, flexibility and low cost. For accurate surface roughness measurement, the image captured by the vision system should be free of noise. In this paper, the performance of bilateral filter is compared with other image denoising filters like Wiener filter, anisotropic filter in removing the additive white Gaussian noise from the machined surface images. The aim of this work is to apply standard, robust and weighted bilateral filters on milled surface images and grinded surface images for quantitative assessment. This paper also presents the effect of various range and domain parameter values in the performance of bilateral filters in removing the Gaussian noise from the machined surface images.
Refbacks
- There are currently no refbacks.
Disclaimer/Regarding indexing issue:
We have provided the online access of all issues and papers to the indexing agencies (as given on journal web site). It’s depend on indexing agencies when, how and what manner they can index or not. Hence, we like to inform that on the basis of earlier indexing, we can’t predict the today or future indexing policy of third party (i.e. indexing agencies) as they have right to discontinue any journal at any time without prior information to the journal. So, please neither sends any question nor expects any answer from us on the behalf of third party i.e. indexing agencies.Hence, we will not issue any certificate or letter for indexing issue. Our role is just to provide the online access to them. So we do properly this and one can visit indexing agencies website to get the authentic information. Also: DOI is paid service which provided by a third party. We never mentioned that we go for this for our any journal. However, journal have no objection if author go directly for this paid DOI service.