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I have a bunch of images that I am trying to straighten so the images are horizontal (major axis is horizontal) but I don't understand the orientation output from regionprops method in skimage. How to convert it into degrees ? What is the axis reference for the output angle ?

Here is the skimage doc:

orientation : float. Angle between the 0th axis (rows) and the major axis of the ellipse that has the same second moments as the region, ranging from -pi/2 to pi/2 counter-clockwise.

My question: Given the orientation, how do I calculate the angle in degrees to rotate the image so that the major axis is horizontal with skimage?

Code sample

Basically, the main major and minor axis of this object belong to index 1 of the pandas dataframe. The orientation of the object is -1.184075 and should belong to the major axis.

from skimage.measure import label, regionprops_table

# connected pixels of same label get assigned a value
label_img = label(binary_image_here)
props = regionprops_table(label_img, properties=('centroid',
                                             'bbox',
                                             'orientation',
                                             'major_axis_length',
                                             'minor_axis_length'))

df = pd.DataFrame(props)

enter image description here

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Based on the doc you provide, orientation is in radians, ranging from -pi/2 to pi/2 counter-clockwise:

orientation : float. Angle between the 0th axis (rows) and the major axis of the ellipse that has the same second moments as the region, ranging from -pi/2 to pi/2 counter-clockwise.

Moreover, as it is said in the regionpropos doc, since 0.16.0, they use "rc" corrdinates everywhere. They say for the majority of computation you could find the old results with a simple transformation, but for others, it is more complicated, such as the orientation:

For example, the new orientation is π/2 plus the old orientation.

Which means that the right formula to get the angle you want is this one:

angle_in_degrees = orientation * (180/np.pi) + 90

And the orientation refers to this angle on the image: enter image description here

Now: If you want your major axis and the 0th axis align, then rotate your image by -angle_in_degrees:

from skimage.transform import rotate
rotate(image, -angle_in_degrees, resize=True)
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  • $\begingroup$ Ah ok, I see. So, I convert radians to degrees and then rotate so the total equals either -90 or 90 depending on whether the radian was positive of negative. If the radian is negative, convert the radian to degrees and add the remaining degree value so the total is -90 degrees and vice-versa. $\endgroup$ – zipline86 Aug 4 at 11:31
  • $\begingroup$ I have updated my answer. Is it clearer now how you should proceed ? $\endgroup$ – etiennedm Aug 4 at 11:54
  • $\begingroup$ Ah yes much clearer, thanks! One thing though. The major axis in the example picture I have looks like your first image; however, the orientation by skimage is negative (negative also in degrees) and not positive. Why is that? Should I also be considering the position of minor axis in that case? $\endgroup$ – zipline86 Aug 4 at 12:04
  • $\begingroup$ You are right, I did not understand it first but it comes from an update they have done. To compute the right angle you should add pi/2 to the orientation (or 90 to the angle in degrees). I have added that to the answer. $\endgroup$ – etiennedm Aug 4 at 13:56

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