Perform the following steps to implement morphological pattern matching with hit-or-miss-transform:
- Define the hit_or_miss_transform() function that accepts the filenames corresponding to the input image and two SEs (the first one for hit and the second one for miss) as input:
def hit_or_miss_transform(im, s1, s2):
- Inside the function, read the input image and structuring elements, consequently converting them into grayscale:
im = rgb2gray(imread(im)) m, n = im.shape s1 = rgb2gray(imread(s1)) s2 = rgb2gray(imread(s2))
- Apply the hit-or-miss transform using corresponding functions from the scipy.ndimage module, which returns a Boolean NumPy ndarray where the elements corresponding to the match position are set to True ...
