def bottom_hat_transform(image):
"""
Method calculates the bottom hat transformation of a given imaeg
"""
#image = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
structure = np.array([[1., 1., 1., 1., 1., 1.],
[1., 1., 1., 1., 1., 1.],
[1., 1., 1., 1., 1., 1.]])
return morphology.black_tophat(image, size=80)
def bottom_hat_transform(image):
"""
Method calculates the bottom hat transformation of a given imaeg
"""
#image = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
structure = np.array([[1., 1., 1., 1., 1.,
1.], [1., 1., 1., 1., 1., 1.],
[1., 1., 1., 1., 1., 1.]])
return morphology.black_tophat(image, size=80)
def enhance(image):
image = image.copy()
image = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
image = cv2.bilateralFilter(image, 9, 175, 175)
image_top = morphology.white_tophat(image, size=400)
image_bottom = morphology.black_tophat(image, size=80)
image = cv2.add(image, image_top)
image = cv2.subtract(image, image_bottom)
clahe_obj = cv2.createCLAHE(clipLimit=2.0, tileGridSize=(16, 16))
image = clahe_obj.apply(image)
return image
def bottom_hat_transform(img):
"""Calculates the bottom-hat transformation of a given image.
This transformation enhances the darker structures in the image.
Args:
img: A grayscale dental x-ray image.
Returns:
The top-hat transformation of the input image.
"""
return morphology.black_tophat(img, size=80)
def blackhat(image, size=60):
return morphology.black_tophat(image, size)
def bottom_hat_transform(img):
return morphology.black_tophat(img, size=80)