Mastering OpenCV 4 with Python

Trying out more thresholding techniques with scikit-image

We are going to threshold a test image comparing Otsu's, triangle, Niblack's, and Sauvola's thresholding techniques. Otsu and triangle are global thresholding techniques, while Niblack and Sauvola are local thresholding techniques. Local thresholding techniques are considered a better approach when the background is not uniform. For more information about Niblack's and Sauvola's thresholding algorithms, see An Introduction to Digital Image Processing (1986) and Adaptive document image binarization (2000), respectively. The full code for this example can be seen in the thresholding_scikit_image_techniques.py script. In order to try these methods, the first step is to import the required ...