How to apply MinSeparation on both islocalmin and islocalmax

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Simon Allosserie
Simon Allosserie el 20 de Oct. de 2022
Comentada: Mathieu NOE el 27 de Mzo. de 2023
I am using findlocalmin and findlocalmax to find the local extrema of a curve (actually, it's a column of a greyscale image). The problem is that the curve is very quircky, so there are a LOT of local extrema. Now I want to use the MinSeparation property to space the extrema out a bit more. The problem is that this property only works for OR the maxima, OR the minima, as you have to get them using two functions:
A = [0 -0.0053 0.0690 0.1572 0.5036 1.1386 0.9963 0.2337 -0.0711 -0.0479 -0.0589 -0.0452 0.0017 ...
-0.0041 -0.0436 -0.0531 -0.0439 -0.0612 -0.0501 0.0114 0.0099 -0.0540 -0.0644 -0.0451 -0.0698 -0.0418 0.1162 0.2205 0.1490 0.0427 -0.0177...
-0.0495 -0.0595 -0.0507 -0.0215 0.0775 0.1895 0.1314 -0.0051 -0.0310 -0.0203 -0.0438 -0.0484 -0.0447 -0.0638 -0.0591];
x = 1:length(A);
MinMax0 = islocalmax(A,1) | islocalmin(A,1);
MinMax = islocalmin(A,'MinSeparation',2) | islocalmax(A, 'MinSeparation',2);
plot(A,'-'); hold on; plot(x(MinMax0),A(MinMax0),'*'); plot(x(MinMax), A(MinMax),'^'); hold off
So in practice, it is very much possible that points within the MinSeparation range are still on the curve, as the MinSeparation doesn't work over the min and max function together, as you can see.
This is especially problematic for my application, as it often happens that the peak as well as the two adjecent points are selected (i.e. 3 consecutive points), and in further steps this poses problems; in that case I would only want to keep the peak and not the adjecent points.
Is there any way to harmonize this effect over the two functions?
  2 comentarios
Alekhya Hati
Alekhya Hati el 24 de Mzo. de 2023
The functions also have another name-value argument called 'Prominence'. I think you should play around with that and apply the value which works in your case. Also use the 'FlatSelection' argument.
Mathieu NOE
Mathieu NOE el 27 de Mzo. de 2023
hello
what points in your plot would you consider as valid then ?
a picture is sometimes better to help us understand your problem

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