Tutorial by Examples

Smoothing, also known as blurring, is one of the most commonly used operation in Image Processing. The most common use of the smoothing operation is to reduce noise in the image for further processing. There are many algorithms to perform smoothing operation. We'll look at one of the most commonl...

In Python: import cv2 image_path= 'd:/contour.png' img = cv2.imread(image_path) #display image before thresholding cv2.imshow('I am an image display window',img) cv2.waitKey(0) #convert image to gray scale - needed for thresholding img_gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY) ...

In image processing applications, the bilateral filters are a special type of non-linear filters. There is a trade off between loosing structure and noise removal, because the most popular method to remove noise is Gaussian blurring which is not aware of structure of image; therefore, it also remov...