Matlab adds additional margin to an image!
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Amin Tabrizian
il 28 Mag 2019
Commentato: Amin Tabrizian
il 30 Mag 2019
I'm going to develope an app for calculating beam deflections. for inserting images of supports, when I insert the images matlab automatically adds unwanted margins to my pictures.Does anyone know how can I solve this issue?
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Geoff Hayes
il 29 Mag 2019
Amin - are the "unwanted" margins the space between the triangles and the green rectangle? Are you showing/drawing these objects in one axes or more? Please clarify.
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Geoff Hayes
il 29 Mag 2019
Amin - from your code
ax = uiaxes(fig,'position',[78 120 240 240]);
imshow('Support1.png','parent',ax);
ax = uiaxes(fig,'position',[220 120 240 240]);
isn't the first axes created at x-coordinate 78 with a width of 240? So that would mean that 78+240=318...but the second axes is created at x-coordinate 220 which is less than 318 which leads to overlap amongst the two axes. Maybe you need to create the second axes at least at x-coordinate 318 so that there is no overlap between the two.
3 Commenti
Geoff Hayes
il 30 Mag 2019
Ali - why not just concatenate the two images together and then put on the same axes? Something like
ax = uiaxes(fig,'position',[78 120 240 240]);
myImage = imread('Support1.png');
myImageX2 = [myImage myImage];
imshow(myImageX2, 'parent', ax);
Of course, you will need to adjust the width and position of the axes to support this new image whose width (number of columns) is twice what it was.
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Walter Roberson
il 29 Mag 2019
uiaxes() with 'position' places according to the inner position property, not according to the outer position property.
If you set the second axes Visible property on, the labels will appear, and it will be obvious that the blank space is exactly where the labels would be, in the area between the inner position and the outer position.
Traditional axes are not exactly the same. With traditional axes, when you turn the axes visibility off, the layout routine is re-run and the visible area expands to (closer to) the outer position. You would get overlap because your position overlap, but it would be clearly defined and obvious as to what had happened.
(If you do the experiment with traditional axes() remember to set the Units to Pixels as the default is normalized.)
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