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Python OpenCV - cv2.calcHist method

Python OpenCV | cv2.blur() method

Last Updated : 04 Jan, 2023

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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:

Python OpenCV - cv2.calcHist method

R

Rajnis09

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Article Tags :

Python
Image-Processing
OpenCV
Python-OpenCV

Practice Tags :

python

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