OpenCV 3 Computer Vision with Python Cookbook

How it works...

OpenCV has many different types of thresholds and thresholding methods. You can divide all the methods into two groups—global, where the same threshold value is used for all pixels, and adaptive, where the value of the threshold is pixel-dependent.

The approaches from the first group can be used through the cv2.threshold function, which, among other parameters, takes the threshold type (such as cv2.THRESH_BINARY and cv.THRESH_BINARY_INV).

Adaptive thresholding methods are available through the cv2.adaptiveThreshold function. In adaptive approaches, each pixel has its own threshold, which depends on the surrounding pixel values. In the preceding code, we used the cv2.ADAPTIVE_THRESH_MEAN_C approach for threshold value estimation, ...