`skimage.transform.radon_transform:radon`

source: /dev/scikit-image/src/skimage/transform/radon_transform.py :16

Signature

   def     radon (    image    ,    theta    =  None   ,    circle    =  True   ,  * ,     preserve_range    =  False     )

Calculates the radon transform of an image given specified projection angles.

image : ndarray: Input image. The rotation axis will be located in the pixel with indices (image.shape[0] // 2, image.shape[1] // 2).
theta : array, optional: Projection angles (in degrees). If None, the value is set to np.arange(180).
circle : bool, optional: Assume image is zero outside the inscribed circle, making the width of each projection (the first dimension of the sinogram) equal to min(image.shape).
preserve_range : bool, optional: Whether to keep the original range of values. Otherwise, the input image is converted according to the conventions of img_as_float. Also see https://scikit-image.org/docs/dev/user_guide/data_types.html

radon_image : ndarray: Radon transform (sinogram). The tomography rotation axis will lie at the pixel index radon_image.shape[0] // 2 along the 0th dimension of radon_image.

Based on code of Justin K. Romberg (https://www.clear.rice.edu/elec431/projects96/DSP/bpanalysis.html)