Mastering OpenCV 4 with Python

Questions

1. Apply a thresholding operation using cv2.threshold() with a threshold value of 100 and using the cv2.THRESH_BINARY thresholding type.
2. Apply an adaptive thresholding operation using cv2.adapativeThreshold() ,cv2.ADAPTIVE_THRESH_MEAN_C, C=2 and blockSize=9.
3. Apply Otsu's thresholding using the cv2.THRESH_BINARY thresholding type.
4. Apply triangle thresholding using the cv2.THRESH_BINARY thresholding type.
5. Apply Otsu's thresholding using scikit-image.
6. Apply triangle thresholding using scikit-image.
7. Apply Niblack's thresholding using scikit-image.
8. Apply Sauvola's thresholding using scikit-image and a window size of 25.
9. Modify the thresholding_example.py script in order to make use of np.arange(), with the purpose of defining the threshold ...