02-05-2013 09:21 AM
Hi all Labviewers,
This is voltage I am getting from an array. This is actually a frame of a 3d-surface video. Is there a way I can ''smooth'' the surface? Any ideas welcome. Thank you for your time
02-05-2013 12:10 PM
@LambdaDigamma wrote:
Hi all Labviewers,
This is voltage I am getting from an array. This is actually a frame of a 3d-surface video. Is there a way I can ''smooth'' the surface? Any ideas welcome. Thank you for your time
All those zeroes to me means a very fine resolution. Do you need that kind of resolution, or can can you change the scale to something more reasonable?
02-05-2013 03:19 PM
There are many ways to smooth a 2D set of data. What kind of resolution to you need to retain?
(Try e.g. a 2D convolution with a gaussian kernel of appropriate size)
(In the most extreme case, you would replace all elements with the average of all elements, but you are probably looking for something more detailed).
02-06-2013 09:34 AM
I think a resolution that will just smooth the spikes and make the surface look more like a sheet with curves
02-06-2013 10:53 AM
You might try using the graph properties to select a Z-axis range that better suits your needs. It looks like the graph is auto-selecting the range to give you maximum detail.
02-06-2013 11:36 AM
@LambdaDigamma wrote:
I think a resolution that will just smooth the spikes and make the surface look more like a sheet with curves
You said this is a video. Does the smoothing need to occur in realtime as the data is acquired or is it sufficient to smooth later?
Can you attach a typical 2D sample array? What kind of structure do you expect to remain after eliminating the high frequency noise?
02-06-2013 12:30 PM
OK, this is how it looks after the autoscaling takes some time and stabilizes. It is smoother I know but I just want to get rid of the spices and have like a surface covering the spikes like a tangent maybe.
02-06-2013 12:31 PM
and yes it is a video and the smoothing doesn't have to occur in real time. It can be a post process
02-07-2013 07:10 AM
I was checking the 2d convolution with gaussian kernels, looks interesting. Can you be more specific? Thank you for your time
02-07-2013 11:18 AM
You still have not attached any typical dataset.