Fitting the data so that one a single continuous line is achived

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waqas
waqas 2019-9-4
评论： waqas 2019-9-4
Hi,
I have following line that I want to smooth out so that only one point will be there in one column:
Annotation 2019-09-04 112619.png
mat file for the data is also attached. I tried to look for curve fitting and interpolation etc but could not comprehend how exactly tackle this.

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KSSV
KSSV 2019-9-4
I = imread('Annotation 2019-09-04 112619.png') ;
I1 = imcrop(I) ; % crop to remove white borders present around the image
I1 = rgb2gray(I1) ;
[y,x] = find(I1) ;
% Do fitting
p = polyfit(x,y,2) ;
xi = min(x):max(x) ;
yi = polyval(p,xi) ;
imshow(I1)
hold on
plot(xi,yi,'r')
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waqas
waqas 2019-9-4
It is still giving almost the same fit. I reckon if some sort of trignomatric fit can give better conservation of orginal randomness of line. Line is basically depicting a crack and showing it as a smooth curve would be a simplified case which would cause problems in later stages of analysis.

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