How to compare two images using Node.js
There is node-opencv module, you might use it in order to perform heavy operation like image comparison. Good topic on that is here: Simple and fast method to compare images for similarity
image-comparison
How to check similarity of two images that have different pixelization
You can use the imagehash library to compare similar images. from PIL import Image import imagehash hash0 = imagehash.average_hash(Image.open(‘quora_photo.jpg’)) hash1 = imagehash.average_hash(Image.open(‘twitter_photo.jpeg’)) cutoff = 5 # maximum bits that could be different between the hashes. if hash0 – hash1 < cutoff: print(‘images are similar’) else: print(‘images are not similar’) Since the images are not exactly … Read more
How to use SIFT algorithm to compute how similar two images are?
First, aren’t you supposed to be using vl_sift instead of sift? Second, you can use SIFT feature matching to find correspondences in the two images. Here’s some sample code: I = imread(‘p1.jpg’); J = imread(‘p2.jpg’); I = single(rgb2gray(I)); % Conversion to single is recommended J = single(rgb2gray(J)); % in the documentation [F1 D1] = vl_sift(I); … Read more
Problems with using a rough greyscale algorithm?
The images look pretty similar, but your eye can tell the difference, specially if you put one in place of the other: For example, you can note that the flowers in the background look brighter in the averaging conversion. It is not that there is anything intrinsically “bad” about averaging the three channels. The reason … Read more
Algorithm for finding similar images
I have done something similar, by decomposing images into signatures using wavelet transform. My approach was to pick the most significant n coefficients from each transformed channel, and recording their location. This was done by sorting the list of (power,location) tuples according to abs(power). Similar images will share similarities in that they will have significant … Read more