Python: Grayscale Conversion of Images - Examples

Example 1: Grayscale Conversion using OpenCV

import cv2

# Read the image
image = cv2.imread('path/to/your/image.jpg')

# Convert the image to grayscale
gray_image = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)

Output:

# Display the grayscale image

Example 2: Grayscale Conversion using Pillow

from PIL import Image

# Open the image
image = Image.open('path/to/your/image.jpg')

# Convert the image to grayscale
gray_image = image.convert('L')

Output:

# Display the grayscale image (if needed)

Example 3: Grayscale Conversion using NumPy

import cv2
import numpy as np

# Read the image
image = cv2.imread('path/to/your/image.jpg')

# Convert the image to grayscale using NumPy
gray_image = np.dot(image[...,:3], [0.299, 0.587, 0.114])

Output:

# Display the grayscale image

Example 4: Grayscale Conversion using scikit-image

from skimage import io, color

# Read the image
image = io.imread('path/to/your/image.jpg')

# Convert the image to grayscale using scikit-image
gray_image = color.rgb2gray(image)

Output:

# Display the grayscale image (if needed)

Example 5: Grayscale Conversion using imageio

import imageio

# Read the image
image = imageio.imread('path/to/your/image.jpg')

# Convert the image to grayscale using imageio
gray_image = imageio.plugins.color.rgb2gray(image)

Output:

# Display the grayscale image (if needed)