Hello everyone, how do you fit two curves into a closed curve?My code is as follows.

4 visualizaciones (últimos 30 días)
load dataA.mat
%x1=dataA(:,1);
%y1=dataA(:,2);
f1 = fit(xAbove,yAbove,'smoothingspline','SmoothingParam',0.0001);%smoothingspline
%plot(f1,xAbove,yAbove)
plot(f1,'-r')
hold on
load dataB.mat
%x2=dataB(:,1);
%y2=dataB(:,2);
[xx,ind] = sort(xBelow);
yy2 = smooth(xBelow,yBelow,0.5,'rloess');
plot(xx,yy2(ind),'r-')
%f2 = fit(xBelow,yBelow,'smoothingspline','SmoothingParam',1);%smoothingspline
%plot(xBelow,yBelow)
%xBelow(1)=xAbove(1);
%yBelow(end)=yAbove(end);
%hold on

Respuestas (2)

KSSV
KSSV el 20 de En. de 2021
load dataA ;
load dataB ;
C1 = [xAbove yAbove] ;
C2 = [xBelow yBelow] ;
% MErge them
C = [C1 ;C2] ;
idx = boundary(C(:,1),C(:,2)) ;
C = C(idx,:) ;
plot(C(:,1),C(:,2))
  6 comentarios
Wesley
Wesley el 20 de En. de 2021
And the curve cannot be derivated and be searched for extreme points
Wesley
Wesley el 20 de En. de 2021
My idea is similar to the idea of piecewise function fitting, where the critical points are equal at the nodes to realize the fitting of a closed curve.

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Raghav Gnanasambandam
Raghav Gnanasambandam el 20 de En. de 2021
I am not sure whether it is actually needed to combine the two curves. I am assuming you just need to find the closed curve for the whole data. Depending on how you want to fit a closed curve, you can use either boundary() or convhull().
load dataA.mat
load dataB.mat
x = [xAbove;xBelow];
y = [yAbove;yBelow];
k = boundary(x,y);
hold on;
plot(x(k),y(k));
or
load dataA.mat
load dataB.mat
x = [xAbove;xBelow];
y = [yAbove;yBelow];
k = convhull(x,y);
hold on;
plot(x(k),y(k));
Hope this helps.

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