Compare Image Similarity with OpenCV SSIM

In OpenCV, the Structural Similarity Index (SSIM) can be used to compare the similarity of two images. SSIM is a full-reference image quality assessment metric that can be used to measure the structural similarity of images.

Here is an example code using the cv2 module in OpenCV to calculate the SSIM of two images.

import cv2

# 加载两张要比较的图片
img1 = cv2.imread('image1.jpg')
img2 = cv2.imread('image2.jpg')

# 将图片转换为灰度图像
gray1 = cv2.cvtColor(img1, cv2.COLOR_BGR2GRAY)
gray2 = cv2.cvtColor(img2, cv2.COLOR_BGR2GRAY)

# 计算SSIM
ssim = cv2.SIFT_create()

# 打印SSIM值
print("SSIM:", ssim.compare(gray1, gray2))

Please note that the sample code uses grayscale images for comparison. If you want to compare color images, you can directly use the original color images for comparison.

Furthermore, OpenCV also offers other methods for comparing image similarity, such as Mean Squared Error (MSE) and Structural Similarity Index (SSIM). You can choose the appropriate method based on your specific needs.