pysteps.utils.images.morph_opening#
- pysteps.utils.images.morph_opening(input_image, thr, n)#
Filter out small scale noise on the image by applying a binary morphological opening, that is, erosion followed by dilation.
- Parameters:
input_image (ndarray or MaskedArray) – Array of shape (m, n) containing the input image.
thr (float) – The threshold used to convert the image into a binary image.
n (int) – The structuring element size [pixels].
- Returns:
input_image – Array of shape (m,n) containing the filtered image.
- Return type: