I am trying to do top hat morphological transformation to an image but not getting the expected output for some reason.
# Top Hat: difference between input image and opening
kernel = np.ones((5,5),np.float32)/25
tophat = cv2.morphologyEx(img, cv2.MORPH_TOPHAT, kernel)
plt.subplot(121),plt.imshow(img, cmap='gray'),plt.title('Original')
plt.xticks([]), plt.yticks([])
plt.subplot(122),plt.imshow(tophat, cmap='gray'),plt.title('Top Hat')
plt.xticks([]), plt.yticks([])
plt.show()
What is expected
What I am getting
EDIT: Added the kernel.
kernel = cv2.getStructuringElement(cv2.MORPH_RECT, ksize=(9,9))
tophat = cv2.morphologyEx(image, cv2.MORPH_TOPHAT, kernel)
Edit:
For details please read the following:
https://docs.opencv.org/3.3.1/d9/d61/tutorial_py_morphological_ops.html
https://docs.opencv.org/3.3.1/d4/d86/group__imgproc__filter.html#gac342a1bb6eabf6f55c803b09268e36dc
Iterations vs. Kernel Size in Morphological Operations (OpenCV)