js判断相同图片

function imagesAreEqual(img1, img2) {
    const canvas = document.createElement('canvas');
    const ctx = canvas.getContext('2d');

    canvas.width = img1.width;
    canvas.height = img1.height;
    ctx.drawImage(img1, 0, 0);
    const data1 = ctx.getImageData(0, 0, canvas.width, canvas.height).data;

    canvas.width = img2.width;
    canvas.height = img2.height;
    ctx.drawImage(img2, 0, 0);
    const data2 = ctx.getImageData(0, 0, canvas.width, canvas.height).data;

    if (data1.length !== data2.length) return false;
    for (let i = 0; i < data1.length; i++) {
        if (data1[i] !== data2[i]) return false;
    }
    return true;
}

const phash = require('phash');

async function imagesAreEqualPhash(img1, img2) {
    const hash1 = await phash(img1);
    const hash2 = await phash(img2);
    return hash1 === hash2;
}

const cv = require('opencv.js');

function imagesAreEqualOpenCV(img1, img2) {
    const mat1 = cv.imread(img1);
    const mat2 = cv.imread(img2);

    const orb = new cv.ORB();
    const keypoints1 = new cv.KeyPointVector();
    const descriptors1 = new cv.Mat();
    orb.detectAndCompute(mat1, new cv.Mat(), keypoints1, descriptors1);

    const keypoints2 = new cv.KeyPointVector();
    const descriptors2 = new cv.Mat();
    orb.detectAndCompute(mat2, new cv.Mat(), keypoints2, descriptors2);

    const bfMatcher = new cv.BFMatcher(cv.NORM_HAMMING);
    const matches = new cv.DMatchVector();
    bfMatcher.match(descriptors1, descriptors2, matches);

    const goodMatches = [];
    for (let i = 0; i < matches.size(); ++i) {
        if (matches.get(i).distance < 30) {
            goodMatches.push(matches.get(i));
        }
    }

    return goodMatches.length > 10; // 阈值可以根据实际情况调整
}