15 Mar Set a Grayscale filter with OpenCV
Convert an image to grayscale to give it a classic black-and-white look. Use the cv2.IMREAD_GRAYSCALE parameter value of the imread() function.
Let us now see the example:
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# Read and display an image with OpenCV and give it a grayscale filter import cv2 # Load an image # The cv2.IMREAD_GRAYSCALE here gives grayscale to the image image = cv2.imread(r'C:\Users\hp\Downloads\Astronaut.png', cv2.IMREAD_GRAYSCALE) # Display the image cv2.imshow("Grayscale Filter", image) # Wait for a key press and close the window cv2.waitKey(0) cv2.destroyAllWindows() |
The following is the output:
Explanation:
This Python script employs the OpenCV library to load an image, apply a grayscale filter, and display it:
- It begins by importing the OpenCV library:
- The script then reads the image file from the specified file path, using the
cv2.IMREAD_GRAYSCALEflag in thecv2.imread()function to convert the image into grayscale during the loading process. - The grayscale image is assigned to the variable
image. - The
cv2.imshow()function is then used to display the grayscale image in a window titled “Grayscale Filter.” - To keep the window open for viewing, the
cv2.waitKey(0)function waits indefinitely for a key press. - Once a key is pressed, the script closes the display window using the
cv2.destroyAllWindows()function. - This allows users to view the grayscale-filtered version of the image conveniently and interactively.
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