Method gaussian filtering with opencv python

gaussian filtering is a common image processing technique used to blur images and reduce noise. it is based on the gaussian distribution and involves convolving the image with a gaussian kernel.

here is a step-by-step tutorial on how to perform gaussian filtering using opencv in python:

step 1: import the necessary libraries

step 2: load an image

step 3: perform gaussian filtering

step 4: display the original and filtered images

you can adjust the kernel size to control the amount of blurring applied to the image. smaller kernel sizes will result in less blurring, while larger kernel sizes will produce more blur.

give this code a try with your own images and experiment with different kernel sizes to see the effects of gaussian filtering in action!

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