Answer (1 of 3): Structural Similarity Index is one method to measure the similarity between two images. We start by importing the packages we’ll need — matplotlib for plotting, NumPy for numerical processing, and cv2 for our OpenCV bindings. Get Started In order to get started you need to install the below libraries using the pip command as shown below. All the full source code of the application is shown below. This is a simple and fast way to compare two or more images for similarity. Garden Landscaping | Garden Services | Garden Layouts. I wrote a program to do something very similar maybe 2 years ago using Python/Cython. Later I rewrote it to Go to get better performance. The base... We can do it in the following seven steps: Load the original image and the second one. compare two images for similarity python opencv OpenCV SSIM index may not be restricted to image processing. OpenCV provides several built-in methods for histogram comparison as shown below. doubl... Welcome folks today in this blog post we will be comparing two images in python for similarity or they are equal or not using opencv and numpy library. Image 3. I suggest you to take a look to the earth mover's distance (EMD) between the images. Acturally my images are like the following ones. 3 commits. compare two images for similarity python opencv. Writing code in comment? Find similarities between two images with Opencv Matt Winiata - Harcourt's Agent. Image 1. My question is, how can I compare the image with the list of images and get only the similar images?