radon

skimage.transform.radon(image, theta=None, circle=False) [source]

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

Parameters:

Parameters:	image : array_like, dtype=float Input image. The rotation axis will be located in the pixel with indices `(image.shape[0] // 2, image.shape[1] // 2)`. theta : array_like, dtype=float, optional (default np.arange(180)) Projection angles (in degrees). circle : boolean, 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)`.
Returns:	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`.

image : array_like, dtype=float

Input image. The rotation axis will be located in the pixel with indices (image.shape[0] // 2, image.shape[1] // 2).

theta : array_like, dtype=float, optional (default np.arange(180))

Projection angles (in degrees).

circle : boolean, 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).

Returns:

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.

Links:

http://scikit-image.org/docs/0.12.x/api/skimage.transform.html#radon

doc_scikit_image

2017-01-12 17:22:57

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