Checking image similarity using SciKit and OpenCV on Python

Checking image similarity using SciKit and OpenCV on Python
2020-07
Continuing the series of articles on multimedia file processing, this time, I will explain how to check image similarity using python.
Basically, we need SciKit and OpenCV installed.
The code below takes 2 image paths, converts the image colour to gray scale and calculates their structural similarity index measure.
```
#!/usr/bin/env python3

import cv2
from skimage.measure import compare_ssim

def loadAndGrayScaleImage(path):
  image = cv2.imread(path)
  cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)

grayA = loadAndGrayScaleImage("/home/netto/Desktop/rec/image1.jpg")
grayB = loadAndGrayScaleImage("/home/netto/Desktop/rec/image2.jpg")
(score, diff) = compare_ssim(grayA, grayB, full = True)
diff = (diff * 255).astype("uint8")

print("SSIM: {}".format(score))
```
References:
SciKit - compare_ssim
OpenCV python bindings
OpenCV documentation

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Checking image similarity using SciKit and OpenCV on Python

2020-07