Javascript image similarity algorithm to implement js histogram and vector algorithm

function getHistogram(imageData) {
    var arr = [];
    for (var i = 0; i < 64; i++) {
        arr[i] = 0;
    }
    var data = imageData.data;
    var pow4 = Math.pow(4, 2);
    for (var i = 0, len = data.length; i < len; i += 4) {
        var red = (data[i] / 64) | 0;
        var green = (data[i + 1] / 64) | 0;
        var blue = (data[i + 2] / 64) | 0;
        var index = red * pow4 + green * 4 + blue;
        arr[index]++;
    }
    return arr;
}
function cosine(arr1, arr2) {
    var axb = 0,
        a = 0,
        b = 0;
    for (var i = 0, len = arr1.length; i < len; i++) {
        axb += arr1[i] * arr2[i];
        a += arr1[i] * arr1[i];
        b += arr2[i] * arr2[i];
    }
    return axb / (Math.sqrt(a) * Math.sqrt(b));
}
function gray(imgData) {
    var data = imgData.data;
    for (var i = 0, len = data.length; i < len; i += 4) {
        var gray = parseInt((data[i] + data[i + 1] + data[i + 2]) / 3);
        data[i + 2] = data[i + 1] = data[i] = gray;
    }
    return imgData;
}

There is a problem, if the picture is gray and the original image is compared, then to compare the similarity, you need to turn the picture into gray, that is, the above code of the gray function to handle