Set Image Axis as Primary Axis

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Josh Bridges
Josh Bridges am 11 Mär. 2020
Kommentiert: Josh Bridges am 13 Mär. 2020
I have a figure of a plot/graph I would like to load into MATLAB (first figure below) that has its own axes. I would like to make these axes my working axes as I need to plot data on top of this graph at particular points corresponding to the figure's axis. However, when I load the image, MATLAB generates it's own axis(second figure). If it wasn't for the fact that the figure axis is on a log-log scale, this might not be a problem.
Any help would be appreciated it. Thanks!
  6 Kommentare
Ameer Hamza
Ameer Hamza am 11 Mär. 2020
I recently answered another question dealing with synchronization of axes: https://www.mathworks.com/matlabcentral/answers/509899-plot-with-two-related-x-axes. Although these two cases are not different, however, the basic idea is the same. You can see that answer to come up with a solution. If no one else posted a solution until tomorrow, then I will try to post a solution.
Ameer Hamza
Ameer Hamza am 12 Mär. 2020
Josh, check the code in my updated answer.

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Ameer Hamza
Ameer Hamza am 11 Mär. 2020
Bearbeitet: Ameer Hamza am 12 Mär. 2020
Following example show how to synchronize the image axis with the MATLAB plot axis
im = imread('image.jpeg');
fig = figure();
h = imshow(im);
ax_img = gca;
ax_plot = axes();
hold(ax_plot);
ax_plot.Color = 'none';
ax_plot.Position = [0.183 0.158 0.678 0.778]; % bit of trial and error
ax_plot.XLim = [1 100];
ax_plot.YLim = [0.005 1];
ax_plot.XScale = 'log';
ax_plot.YScale = 'log';
% Example: give values in image coordinates
plot(ax_plot, [1 5 10 50 100], [0.005, 0.05, 0.1, 0.5, 1], 'r', 'LineWidth', 2);
ax_plot.Visible = 'off';
  4 Kommentare
Ameer Hamza
Ameer Hamza am 13 Mär. 2020
Here is an example for the case when you want to make the axis invisible but keep the labels.
fig = figure();
ax = axes();
hold(ax);
plot(1:10);
ax.XAxis.Visible = 'off';
x_position = cumsum(ax.Position([1 3]));
y_position = ax.Position(2);
num_ticks = numel(ax.XAxis.TickValues);
x_tickLabels = ax.XAxis.TickLabels;
ticks_x_position = linspace(x_position(1)-0.01, x_position(2)-0.02, num_ticks); % subtraction values are based on manual tuning
ticks_y_position = y_position - 0.1;
for i=1:num_ticks
annotation(fig, 'textbox', [ticks_x_position(i), ticks_y_position 0.1 0.1], ...
'String', x_tickLabels{i}, ...
'EdgeColor', 'none');
end
Josh Bridges
Josh Bridges am 13 Mär. 2020
Thanks for this!
I'll try and apply it to the above plot.

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