Findpeaks creates empty arrays in for loop
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Hello,
I'm defining a for loop to use on a laser stripe image and does the following:
- takes a row
- filters the row ( I take only the bigest and lowest peak)
- gets the gradient
- use findpeaks to get the position and value of the gradient max and min
- create a line between these two points
- get the 0 crossing
Right now im able to get the 0 crossing of just one line. Im stuck in the "for" loop as the findpeaks function is creating empty arrays I dont know why!
The aim is to get the 0 crossing of all the image rows, then plot all.
Please any help?
img_peaks = NaN(rows, 1);
xp = [];
yp = [];
Xn=[];
Yn=[];
for i=1:rows
img_puntos(i,:)=img(i,:);
%filtrado
filtrado=sgolayfilt(double(img_puntos(i,:)),3,33 );
for k=1:length(filtrado)
if filtrado(k)<0
filtrado(k)=0;
end
end
%derivada
derivada=gradient(filtrado);
%maximo y minimo
[yp,xp]=findpeaks(derivada); % HERE IS THE PROBLEM!!!
[Xn,Yn]=findpeaks(-derivada);% HERE IS THE PROBLEM!!!
%coeficientes de la recta
% coeficientes = polyfit([Xp, Xn], [Yp, -Yn], 1);
% m = coeficientes (1);
% n = coeficientes (2);
% % 0 crossing
% zerocross= -m/n;
img_peaks(i) = subpixel;
end
1 comentario
dpb
el 15 de Mzo. de 2021
Not the problem with the data, but in MATLAB replace
for k=1:length(filtrado)
if filtrado(k)<0
filtrado(k)=0;
end
end
with
filtrado(filtrado<0)=0;
The problem in your code is that you didn't write code to handle the possibility a given row in the image may, indeed, not have a discernible peak.
We have no way to know anything about whether there's some way to be able to help findpeaks locate minimal excursions or not without the data to observe; generally it is pretty adept--but, it's designed for typical time series one obtains from things like measurements of acceleration or the like; depending upon what your image looks like, it might not be the best tool.
Or, there just may not be any discernible peaks in the data you have...
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