How to remove noise from a plot?
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I've created a function to detect white edges in an image. This plot is a segment in an image (post processing of my function). The example above has a lot of noise in it, as you can see the segment I'm trying to plot is quite consistent along the 220 mark (y axis) and the large peaks (mostly above) represent noise, there are a few below also. Is there a function or some sort of way I can remove these large peaks? the function works quite well for the majority of images I'm using, data such as above is one of an awkward bunch.
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Image Analyst
2015-2-24
You can make it a bit more robust, but how about just thresholding, then interpolate what's left with interp1
badElements = signal > 230 | signal < 215;
newY = y(~badElements);
newX = x(~badElements);
xq = x;
fixedY = interp1(newX, newY, xq);
It would have been better if you had attached your data so people could have tried things.
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