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Filtering Question ?


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I don't know the exact difference between the two but 99 out of 100 times, I have not noticed a difference in the result. It's been my understanding the Gauss worked best on normal geometry and it know where the data begins and ends. Where spline filtering does not know what is before the beginning and what is after the end. My 2 cents.
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In my case, we don't use anymore spline filters in curve features.
filters could modify the actual geometry; in our developments spline filters perform very bad sometimes, the folowing plot shows the difference applaying the same wavelength value.

1375_e2b0be14548c200389d640a9c9f0fe14.png
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1375_f88fda0c9570e8c588ce885dcd9089dc.png
The graphic that I put is just used as visual example... for that particular case the curve length is around 28 mm and the wavelength is 8.0, in real development cases I would apply wavelength values between 0.8 and 2.0 just enough to soft the roughness.
Even with those small filter values I have had bad experiences with the Spline filter.. no problem until now with Gauss.
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  • 1 year later...
In the following plot the curve length is around 17 mm and the wavelength value is increased gradually from 0.5 to 2.5. Spline filter generates a strange jump in the lower corner between wavelength 0.5 and 1.0, and the in the upper corner between wavelength 1.5 and 2.0.
No problems with Gauss.
In this case I would apply a Gauss Filter Between 0.5 and 1.5

1375_4befc648906c795fb7d009ae62ee89ea.png
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