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\Lazyroar.png' # Reading an image in default modesrc = cv2.imread(path) # Window name in which image is displayedwindow_name = 'Image' # Using cv2.cvtColor() method# Using cv2.COLOR_BGR2GRAY color space# conversion codeimage = 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\Lazyroar.png' # Reading an image in default modesrc = cv2.imread(path) # Window name in which image is displayedwindow_name = 'Image' # Using cv2.cvtColor() method# Using cv2.COLOR_BGR2HSV color space# conversion codeimage = cv2.cvtColor(src, cv2.COLOR_BGR2HSV ) # Displaying the image cv2.imshow(window_name, image) |
Output:
