May 17, 2019 · To visualize differences between two images, we can take a quantitative approach to determine the exact discrepancies between images using the Structural Similarity Index …

Option 1: Load both images as arrays (scipy.misc.imread) and calculate an element-wise (pixel-by-pixel) difference. Calculate the norm of the difference. Option 2: Load both images. Calculate some feature vector for each of them (like a histogram). Calculate distance between feature vectors rather than images.

Dec 23, 2019 · If you want to detect changes in lighting, try converting your image to greyscale cv2.cvtColor(...BGR2GRAY...) and taking the mean with np.mean(). Try running your loop, which is looking about right, and just printing the mean in …

I am trying to compare two images and detect the difference between them whether in shape or color. -The change in shape: the number of parts has changed ( increased or decreased). -The change in color: some of the parts were in pink and changed into white and vice versa. I have tried 3 algorithms: Compare by Compare_ssim.

Nov 24, 2024 · Are you looking to effectively highlight the differences between two images with Python? This guide walks you through two distinct methods that utilize OpenCV and the …

Mar 31, 2025 · Here is an example of how to use opencv in python to detect differences between two images: import cv2 def detect image differences (image1, image2): # load the images img1 = cv2.imread (image1) img2 = cv2.imread (image2) # convert the images to grayscale gray1 = cv2.cvtcolor (img1, cv2.color bgr2gray) gray2 = cv2.cvtcolor (img2, cv2.color ...

Feb 18, 2025 · This article provides a step-by-step guide on how to detect and highlight differences between two images using OpenCV in Python. gray1=cv2. cvtColor (image1, cv2. …

Feb 14, 2022 · Finding the Difference between two images using PIL library. To find the difference, upload 2 images in the interpreter and then using ImageChops find the difference between both of them, output will be self-explanatory. Images used for difference: r.jpg. p.jpg. Output: The extra portions / difference between both image is green in colour.

Jul 26, 2024 · In this article, we have explored how to use OpenCV in Python 3 to detect and visualize image differences. By leveraging the powerful tools provided by OpenCV, we can accurately compare images and identify any changes or alterations.

Apr 5, 2021 · imThresh = cv2.morphologyEx(imThresh, cv2.MORPH_CLOSE, kernel, iterations=1) # get absolute difference between the two thresholded images diff = np.abs(cv2.add(imThresh,-refThresh)) # apply morphology open to remove small regions caused by slight misalignment of the two images kernel = cv2.getStructuringElement(cv2.MORPH_ELLIPSE, (12,12))