Alternative to ginput for finding curve intersections with unevenly spaced data in MATLAB

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Is there a better way to determine the intersection of two curves in MATLAB, other than using ginput, especially when the data points are unevenly spaced and do not include the exact intersection point? How can I handle cases where one of my datasets forms two angled lines joined together, rather than a smooth curve?

Akzeptierte Antwort

Matt J
Matt J am 8 Feb. 2025
Bearbeitet: Matt J am 8 Feb. 2025
Use fminbnd or fzero,
x=sort(rand(1,12)*5);
y1=[0,1,-1*x(3:end)+3+2*x(3)];
y2=2*x-3;
f=@(z) interp1(x,y1,z)-interp1(x,y2,z) ;
xmin=fzero(f,[min(x),max(x)]); ymin=interp1(x,y1,xmin); %intersection
h=plot(x,y1,'--gx', x,y2,'--b+',xmin,ymin,'ro');
h(3).MarkerFaceColor=h(3).Color; h(3).MarkerSize=8;
  1 Kommentar
Bo
Bo am 8 Feb. 2025
Instead of using sort, I use [X,ia,ic] = unique(x); y1 = y1(ia); other than that, both fzero, and fminbnd works well, really appreciated!

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Weitere Antworten (2)

Alan Stevens
Alan Stevens am 8 Feb. 2025
Create a function using interp1 for use with fzero. For example:
yfn = @(X,Y,x) interp1(X,Y,x);
X = [1,2,3,7,8,9];
Y1 = X;
Y2 = 15-X.^1.5;
x0 = 6;
xp = fzero(@(x0)fn(x0,X,Y1,Y2,yfn),x0);
disp(xp)
4.5710
yp = yfn(X,Y1,xp);
plot(X,Y1,'-o',X,Y2,'-+',xp,yp,'ks'),grid
xlabel('x'), ylabel('y')
function Z = fn(x,X,Y1,Y2,yfn)
Z = yfn(X,Y1,x)-yfn(X,Y2,x);
end

Star Strider
Star Strider am 8 Feb. 2025
Bearbeitet: Star Strider am 9 Feb. 2025
Another approach —
x = [linspace(0, 2.4) linspace(5.2, 7, 8)].'*1E-3;
y1 = [x(x<=2.4E-3)*580/2.4E-3; 500*ones(size(x(x>2.5E-3)))];
y2 = x*580/2.4E-3 - 450;
idx = find(diff(sign(y2 - y1)))
idx = 100
idxrng = max(1,idx) : min(numel(x),idx+1)
idxrng = 1×2
100 101
<mw-icon class=""></mw-icon>
<mw-icon class=""></mw-icon>
y2(idxrng)-y1(idxrng)
ans = 2×1
-450.0000 306.6667
<mw-icon class=""></mw-icon>
<mw-icon class=""></mw-icon>
xi = interp1((y1(idxrng)-y2(idxrng)), x(idxrng), 0)
xi = 0.0041
yi = interp1(x, y1, xi)
yi = 532.4229
figure
plot(x, y1, '.-', DisplayName="y_1")
hold on
plot(x, y2, '.-', DisplayName="y_2")
plot(xi, yi, 'sr', DisplayName="Intersection")
hold off
grid
legend(Location='best')
This approach finds the approximate index of the two lines and then interpolates to find the intersection points of the lines.
EDIT — (9 Feb 2025 at 1:43)
Corrected code.
.

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