Read PNG image data into NumPy array using Python

Last update on December 21 2024 07:40:03 (UTC/GMT +8 hours)

NumPy: I/O Operations Exercise-18 with Solution

Write a NumPy program that read image data from a PNG file into a NumPy array using an image processing library like PIL or opencv.

Sample Solution:

Python Code:

from PIL import Image
import numpy as np

# Define the path to the PNG file
image_path = 'image.png'

# Open the image file using PIL
image = Image.open(image_path)

# Convert the image to a NumPy array
image_array = np.array(image)

# Print the shape of the image array to verify
print('Image array shape:', image_array.shape)

# Display the image array (optional, requires matplotlib)
import matplotlib.pyplot as plt
plt.imshow(image_array)
plt.show()

Output:

Image array shape: (170, 132, 3)

Explanation:

• Import Libraries:
• Imported Image from the PIL library for image processing.
• Imported numpy as np for handling arrays.
• Define Image Path:
• Set the path to the PNG file as image_path.
• Open Image File:
• Used Image.open to open the image file specified by image_path.
• Convert Image to NumPy Array:
• Converted the image object to a NumPy array using np.array.
• Print Image Array Shape:
• Printed the shape of the NumPy array to verify the conversion.
• Display Image Array:
• Optionally displayed the image using matplotlib.pyplot to visualize the array data.

Python-Numpy Code Editor: