Skip to content
Related Articles

Related Articles

Python OpenCV | cv2.cvtColor() method

Improve Article
Save Article
  • Difficulty Level : Basic
  • Last Updated : 18 Oct, 2019
Improve Article
Save Article


OpenCV-Python is a library of Python bindings designed to solve computer vision problems. cv2.cvtColor() method is used to convert an image from one color space to another. There are more than 150 color-space conversion methods available in OpenCV. We will use some of color space conversion codes below.

Syntax: cv2.cvtColor(src, code[, dst[, dstCn]])

Parameters:
src: It is the image whose color space is to be changed.
code: It is the color space conversion code.
dst: It is the output image of the same size and depth as src image. It is an optional parameter.
dstCn: It is the number of channels in the destination image. If the parameter is 0 then the number of the channels is derived automatically from src and code. It is an optional parameter.

Return Value: It returns an image.

Image used for all the below examples:

Example #1:




# Python program to explain cv2.cvtColor() method 
   
# importing cv2 
import cv2 
   
# path 
path = r'C:\Users\Administrator\Desktop\geeks.png'
   
# Reading an image in default mode
src = cv2.imread(path)
   
# Window name in which image is displayed
window_name = 'Image'
  
# Using cv2.cvtColor() method
# Using cv2.COLOR_BGR2GRAY color space
# conversion code
image = cv2.cvtColor(src, cv2.COLOR_BGR2GRAY )
  
# Displaying the image 
cv2.imshow(window_name, image)

Output:

Example #2:
Using HSV color space. HSV color space is mostly used for object tracking.




# Python program to explain cv2.cvtColor() method 
   
# importing cv2 
import cv2 
   
# path 
path = r'C:\Users\Administrator\Desktop\geeks.png'
   
# Reading an image in default mode
src = cv2.imread(path)
   
# Window name in which image is displayed
window_name = 'Image'
  
# Using cv2.cvtColor() method
# Using cv2.COLOR_BGR2HSV color space
# conversion code
image = cv2.cvtColor(src, cv2.COLOR_BGR2HSV )
  
# Displaying the image 
cv2.imshow(window_name, image)

Output:


My Personal Notes arrow_drop_up
Related Articles

Start Your Coding Journey Now!