Creating a White Window Using OpenCV

In computer vision and image processing applications, OpenCV (Open Source Computer Vision Library) is a widely used library for real-time computer vision. It provides a wide range of functions for image processing, manipulation, and analysis.

Objective

The objective of this program is to demonstrate how to create a window with a white background using OpenCV.

Required Libraries

• OpenCV (cv2): An open-source computer vision and machine learning software library.

Steps to Create a White Window

1. Import Required Libraries: Import the OpenCV library.
2. Create a White Image: Create an image filled with white pixels using OpenCV.
3. Display the Image: Display the white image in a window.

Example Code

import cv2

# Create a white image

white_image = 255 * np.ones((500, 500, 3), dtype=np.uint8)

# Display the white image in a window

cv2.imshow(‘White Window’, white_image)

cv2.waitKey(0)

cv2.destroyAllWindows()

Explanation

• We create a white image using NumPy’s np.ones() function, which generates an array filled with ones, and then we multiply it by 255 to get white (since the pixel values are in the range 0-255).
• The cv2.imshow() function is used to display the white image in a window named “White Window”.
• cv2.waitKey(0) waits indefinitely for a key press, allowing the window to stay open until any key is pressed.
• cv2.destroyAllWindows() closes all OpenCV windows.

Conclusion

Creating a white window using OpenCV is straightforward and can be useful for various computer vision and image processing applications, such as initializing an image canvas or creating a background for further processing.