How to return all points in a polyshape
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I have a signal that I am trying to modify. On the spectrogram of this signal, I have drawn a polygon using polyshape around a portion that I would ultimately like to remove/silence so that I can extract frequency information only from the portion of the signal I am interested in. How can I return all the data points of the spectrogram within the polygon so that I can use this in later functions? The inpolygon and isinterior functions allow me to verify if certain points I provide are within the polygon. However, both require me to input a series of coordinates to check. I do not want to provide the points. I would like to draw the shape and have a function that just returns the values within it.
5 comentarios
Te Jones
el 1 de Oct. de 2018
I'm still a bit confused as to what you're looking for. Let's start by a simple example. Say we want to remove a square in the center of a set of points. We can do it with inpolygon like this:
%%Some data
x=rand(1,5000);
y=rand(1,5000);
%%Our polygon
xp=[.4 .6 .6 .4];
yp=[.4 .4 .6 .6];
%%Cut out polygon and plot
mask=inpolygon(x,y,xp,yp);
x(mask)=NaN;
y(mask)=NaN;
We could also do it by logical indexing
%%Cut out polygon and plot
mask=(x<max(xp) & x>min(xp) & y<max(yp) & y>min(yp));
x(mask)=NaN;
y(mask)=NaN;
Both of these methods yields identical results but the second one is about 6 times faster. The second approach is a bit more difficult to perform with a parallelogram, however. So, in light of this example, can you tell me why one method is better than the other? Both methods "checks" whether the points are inside of the polygon, but I don't know if it is even possible to skip this step, unless you somehow avoid creating those points to begin with.
Te Jones
el 1 de Oct. de 2018
Respuestas (2)
Steven Lord
el 27 de Sept. de 2018
1 voto
Actually, instead of extracting the vertices from the polyshape and calling inpolygon, I would call isinterior instead.
I think that's what Te Jones referred to as the "TFin" function. To address the comment "there are too many points to check them all individually", realize that the inputs representing the points to check can be vectors instead of just scalars. So you can check many points at once with one call to isinterior.
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