Adaptive thresholding :Gaussian, Adaptive mean Opencv tutorial 03 | Image processing

Image segmentation is a image processing technique for separating fore ground of image from back ground. Adaptive/Local thresholding algorithms namely adaptive mean & gaussian has been explained and their implementation using opencv has been covered in this video.
Adaptive thresholding(Gaussian and adaptive_mean thresholding) is useful when a single threshold value cannot be used to perform thresholding on an entire image. Unlike to global thresholding , threshold value is found for every sub region in adaptive thresholding. The sizes of these sub regions must be odd. Opencv supports two types of adaptive thresholding algorithm for image processing namely gaussian and adaptive mean. The basic difference between these two algorithms is that in adaptive mean to calculate the threshold value for a sub region we make use of mean and for gaussian we use weighted mean.