OpenCV Python Color Spaces

OpenCV provides various color spaces for image processing. These color spaces are used to represent images in different ways, which can be more suitable for certain types of image processing tasks.

Common Color Spaces

Here are some of the common color spaces used in OpenCV:

• BGR: This is the default color space in OpenCV. It stands for Blue, Green, and Red.
• HSV: This color space separates the color, intensity, and saturation of an image, which can be useful for color segmentation.
• Lab: This color space is designed to represent colors in a way that is more human-friendly.
• YUV: This color space is used in video processing and is often used to convert images from RGB to YUV.

BGR to HSV Conversion

Here's an example of how to convert an image from BGR to HSV color space in OpenCV:

import cv2

# Load an image
image = cv2.imread('image.jpg')

# Convert from BGR to HSV
hsv_image = cv2.cvtColor(image, cv2.COLOR_BGR2HSV)

# Display the image
cv2.imshow('HSV Image', hsv_image)
cv2.waitKey(0)
cv2.destroyAllWindows()

Color Space Conversion

OpenCV provides a cvtColor function that can be used to convert images between different color spaces. Here's an example of how to use it:

import cv2

# Load an image
image = cv2.imread('image.jpg')

# Convert from BGR to HSV
hsv_image = cv2.cvtColor(image, cv2.COLOR_BGR2HSV)

# Convert from HSV to BGR
bgr_image = cv2.cvtColor(hsv_image, cv2.COLOR_HSV2BGR)

Further Reading

For more information on color spaces in OpenCV, you can refer to the official OpenCV documentation.

HSV Color Space