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Python OpenCV | cv2.blur() method
  • Last Updated : 29 Nov, 2019

OpenCV-Python is a library of Python bindings designed to solve computer vision problems. cv2.blur() method is used to blur an image using the normalized box filter. The function smooths an image using the kernel which is represented as:

Syntax: cv2.blur(src, ksize[, dst[, anchor[, borderType]]])
Parameters:
src: It is the image whose is to be blurred.
ksize: A tuple representing the blurring kernel size.
dst: It is the output image of the same size and type as src.
anchor: It is a variable of type integer representing anchor point and it’s default value Point is (-1, -1) which means that the anchor is at the kernel center.
borderType: It depicts what kind of border to be added. It is defined by flags like cv2.BORDER_CONSTANT, cv2.BORDER_REFLECT, etc
Return Value: It returns an image.

Image used for all the below examples:

Example #1:




# Python program to explain cv2.blur() method 
  
# importing cv2 
import cv2 
  
# path 
path = r'C:\Users\Rajnish\Desktop\geeksforgeeks\geeks.png'
  
# Reading an image in default mode 
image = cv2.imread(path) 
  
# Window name in which image is displayed 
window_name = 'Image'
  
# ksize
ksize = (10, 10)
  
# Using cv2.blur() method 
image = cv2.blur(image, ksize) 
  
# Displaying the image 
cv2.imshow(window_name, image) 

Output:



Example #2:




# Python program to explain cv2.blur() method 
  
# importing cv2 
import cv2 
  
# path 
path = r'C:\Users\Rajnish\Desktop\geeksforgeeks\geeks.png'
  
# Reading an image in default mode 
image = cv2.imread(path) 
  
# Window name in which image is displayed 
window_name = 'Image'
  
# ksize
ksize = (30, 30)
  
# Using cv2.blur() method 
image = cv2.blur(image, ksize, cv2.BORDER_DEFAULT) 
  
# Displaying the image 
cv2.imshow(window_name, image) 

Output:

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