Points inside multiple polygon for contour

22 次查看(过去 30 天)
I made the following contourplot.
Then, I plot discretized points over this plot.
I wanted to find the (x,y) coordinates of the discretized points within the region between the boundaries 40.94 and 43. This is the way how I approached it. With contourtable I acquired the (x,y) coordinates of the contourlines.
muSP = [0.1,0.2,0.3,0.4,0.5,0.6,0.7,0.8,0.9];
muRP = [0.1,0.2,0.3,0.4,0.5,0.6,0.7,0.8,0.9];
[X,Y] = meshgrid(muSP,muRP);
Z = cell2mat(reshape(AoR_mean,[9,9]));
[C,h] = contour(X,Y,Z,(40.9431:2.0538:42.9969));
hold on
title('Angle of Repose - Ledge Test 2D');
xlabel('\mu_s')
ylabel('\mu_r')
clabel(C,h,'LabelSpacing',500,'FontSize',8);
h.LevelList = round(h.LevelList,2);
set(gca,'XTick',0.1:0.1:0.9,'XTickLabel',0.1:0.1:0.9,'XTickLabelRotation',45);
set(gca,'YTick',0.1:0.1:0.9,'YTickLabel',0.1:0.1:0.9);
grid on
% Extract x- and y-coordinates of contour lines
contourTable = getContourLineCoordinates(h);
% Define grid for the variable space
N1 = 80;
muRP_grid = linspace(0.1,0.9,N1);
muSP_grid = linspace(0.1,0.9,N1);
[R,S] = meshgrid(muRP_grid,muSP_grid);
plot(R,S,'.r');
hold off
% x- and y-coordinates of polygon vertices, i.e. between AoR of 40.11 degrees
% and AoR of 43.83 degrees
xv = table2array(contourTable(1:31,3));
yv = table2array(contourTable(1:31,4));
inside_variablespace = inpolygon(R,S,xv,yv);
% x- and y-coordinates corresponding to the discretized points in the
% variable spac
xcoord = R(inside_variablespace);
ycoord = S(inside_variablespace);
However, for some reason I don't get de discretized points within the boundaries 40.94 and 43.

采纳的回答

KSSV
KSSV 2020-9-29
Read about inpolygon. If you have a polygon and a set of points, you cann extract the points lying inside this polygon using that.
  8 个评论
Adam Danz
Adam Danz 2020-9-29
编辑:Adam Danz 2020-9-29
Check out the examples in the documentation
You can call inpolygon on the outer polygon, then call inpolygon on the inner polygon, then remove selected points that are in both.
Example
A = inpolygon(...)
B = inpolygon(...)
A(B) = false;
Use these answers as a stepping stone rather than looking for full solutions.
Tessa Kol
Tessa Kol 2020-9-29
It worked thank you! I adjusted the code as follow:
xv1 = [0.9;table2array(contourTable(1:15,3));0.9];
yv1 = [0.9;table2array(contourTable(1:15,4));0.9];
xv2 = table2array(contourTable(16:18,3));
yv2 = table2array(contourTable(16:18,4));
xv3 = table2array(contourTable(19:31,3));
yv3 = table2array(contourTable(19:31,4));
inside_variablespace1 = inpolygon(R,S,xv1,yv1);
inside_variablespace2 = inpolygon(R,S,xv2,yv2);
inside_variablespace3 = inpolygon(R,S,xv3,yv3);
% x- and y-coordinates corresponding to the discretized points in the
% variable spac
inside_variablespace1(inside_variablespace2) = false;
inside_variablespace1(inside_variablespace3) = false;
xcoord = R(inside_variablespace1);
ycoord = S(inside_variablespace1);
Resulting in:

请先登录,再进行评论。

更多回答(1 个)

Ameer Hamza
Ameer Hamza 2020-9-29
There is no need to use inpolygon here. You can directly create a mask from the Z matrix. Following shows an example, and find the x and y coordinates from the mesh between contour lines at 0.33 and 0.66
[X, Y] = meshgrid(linspace(-1, 1));
Z = X.^2 + Y.^2;
levels = [0 0.33 0.66 1]; % levels for contour plot
mask = Z < 0.66 & Z > 0.33;
x_coord = X(mask);
y_coord = Y(mask);
contour(X, Y, Z, levels)
hold on
plot(x_coord, y_coord, '+')
  4 个评论
Ameer Hamza
Ameer Hamza 2020-9-29
What is the error. In the data you shared, AoR_mean is undefined, so I cannot run your code to see the issue.

请先登录,再进行评论。

产品


版本

R2020b

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by