rank-order

rank_order

skimage.filters.rank_order(image) [source]

Return an image of the same shape where each pixel is the index of the pixel value in the ascending order of the unique values of image, aka the rank-order value.

Parameters:	image: ndarray
Returns:	labels: ndarray of type np.uint32, of shape image.shape New array where each pixel has the rank-order value of the corresponding pixel in image. Pixel values are between 0 and n - 1, where n is the number of distinct unique values in image. original_values: 1-D ndarray Unique original values of image

Examples

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>>> a = np.array([[1, 4, 5], [4, 4, 1], [5, 1, 1]]) >>> a array([[1, 4, 5],        [4, 4, 1],        [5, 1, 1]]) >>> rank_order(a) (array([[0, 1, 2],        [1, 1, 0],        [2, 0, 0]], dtype=uint32), array([1, 4, 5])) >>> b = np.array([-1., 2.5, 3.1, 2.5]) >>> rank_order(b) (array([0, 1, 2, 1], dtype=uint32), array([-1. ,  2.5,  3.1]))