To compare two images for similarity or equality using the Python 3
NumPy libraries, you can follow these steps:
Step 1: Install the
numpy libraries using pip.
pip install opencv-python`
pip install numpy
Step 2: Create a new Python script and import the necessary modules.
import numpy as np
def compare_images(image1_path, image2_path):
# Read the images
image1 = cv2.imread(image1_path)
image2 = cv2.imread(image2_path)
# Check if the images have the same shape
if image1.shape != image2.shape:
# Compute the absolute difference between the images
difference = cv2.absdiff(image1, image2)
difference = cv2.cvtColor(difference, cv2.COLOR_BGR2GRAY)
# Set a threshold to consider images as equal or similar
threshold = 30
similarity = np.mean(difference) <= threshold
In the above code, we define the
compare_images function that takes the paths of two images as input. It reads the images using
cv2.imread and checks if they have the same shape. Then it calculates the absolute difference between the images using
cv2.absdiff and converts it to grayscale. Finally, it computes the mean of the difference and compares it to a threshold to determine if the images are similar or equal.
Step 4: Call the
compare_images function with the paths of the two images you want to compare.
image1_path = 'image1.jpg'
image2_path = 'image2.jpg'
result = compare_images(image1_path, image2_path)
print("The images are similar.")
print("The images are not similar.")