How to extract x and y position of contour line?

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In old matlab versions, I could extract x and y points along a contour line as shown below. This is incredibly useful in my work. Now in R2015 the approach doesn't work (hh.XData and hh.YData are the x and y values of the data you're contouring, rather than the x,y position of the contour line). In more recent versions of contour, how can I extract x,y points along a contour line? If I can't do it via contour, is there another way?
z = peaks; % Load in a dataset that all matlab users have
x = 1:size(peaks, 2); y = 1:size(peaks, 1);
pcolor(x, y, z); % Plot the data
shading flat;
hold on;
[cc, hh] = contour('v6', x, y, z, [0 10^5], 'k'); % Overlay contour line (will plot 3 continuous contours)
xPointsOfContour = get(hh(1), 'xdata'); % Get points along the first contour
yPointsOfContour = get(hh(1), 'ydata');
plot(xPointsOfContour, yPointsOfContour, 'w.'); % Demo that points on contour line were extracted

Accepted Answer

K E on 23 Jul 2015
Just realized that the contour matrix cc now seems to contain x and y location data,
pcolor(x, y, z); % Plot the data
hold on;
shading flat
[cc, hh] = contour(x, y, z, [0 10^5], 'k'); % Overlay contour line
hold on;
cc(cc<1) = NaN;
h = plot(cc(1,:), cc(2, :), 'w.');
Adam Danz
Adam Danz on 29 Jul 2021
w = white
'.' = point markers
w. = white point markers

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More Answers (2)

Yuhang Luo
Yuhang Luo on 29 Jun 2018
  1 Comment
Adam Danz
Adam Danz on 23 Jan 2020
Also see
[cm, h] = contour(. . .);
contourTable = getContourLineCoordinates(cm);
% --or--
contourTable = getContourLineCoordinates(h);
% contourTable =
% Level Group X Y
% ________ _____ __________ __________
% -5.8504 1 -0.040982 -1.625
% -5.8504 1 -0.027916 -1.75
% -5.8504 1 0 -1.7823
% -5.8504 1 0.045032 -1.5
% etc....

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John L
John L on 9 Jun 2017
Plot a single contour, then plot(hh.ContourMatrix(1,2:end),hh.ContourMatrix(2,2:end))
KFoster on 1 Oct 2021
The first column of the contour matrix M denotes what contour level and how many vertices are included in that particular line; similar columns are found throughout the M matrix between the coordinates for each line. It's in the matlab documentation here:

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