Thresholding is a way to segment images. Although thresholding methods and algorithms are available for colored images, it works best on grayscale images. Thresholding usually (but not always) converts grayscale images into binary images (in a binary image, each pixel can have only one of the two possible values: white or black). Thresholding the image is usually the first step in many image processing applications.
The way thresholding works is very simple. We define a threshold value. For a pixel in a grayscale image, if the value of grayscale intensity is greater than the threshold, then we assign a value to the pixel (for example, white); otherwise, we assign a black value to the pixel. This is the simplest form of thresholding. Also, there are many other variations of this method, which we will look at now.
In OpenCV, the cv2.threshold() function is used to threshold images. Its input includes grayscale image, threshold values, maxVal, and threshold methods as parameters...