web图片识别

<!doctype html>
<html lang="en">
<head>
    <meta charset="UTF-8">
    <title>图像识别</title>
    <script src="../js/jquery.js"></script>
</head>
<body>
<canvas id="canvas" style="display: none;"></canvas>
<script>
    function rgb(objs, fn) {
        var obj = objs.obj || objs,
            obj = obj || null,
            fn = fn || new Function(),
            _thisCanvas = document.createElement('canvas'),
            canvas = _thisCanvas,
            ctx = canvas.getContext('2d'),
            img = null,
            CY_index = objs.index || 100;//默认抽样数据未100；
        if (obj == null) {
            return new Error("参数不能为空");
        } else {
            switch (typeof obj) {
                case "object":
                    img = obj;
                    break;
                case "string":
                    img = new Image();
                    img.src = obj;
                    break;
            };
        };
        img.onload = function (e) {
            canvas.width = img.width;
            canvas.height = img.height;
            ctx.drawImage(img, 0, 0);
            var w = objs.w || img.width,
                h = objs.h || img.height;
            var rgb = [];
            var xy = [];
            if(objs.xy){
                for(var i = 0 ; i < objs.xy.length ; i++){//抽样数据匹配
                    var xs = objs.xy[i].x;
                    var ys = objs.xy[i].y;
                    xy.push({
                        x:xs,
                        y:ys
                    });
                    var imgData = ctx.getImageData(xs, ys, w, h).data;
                    imgData.forEach(function (e,i) {
                        rgb.push(e);
                    });
                };
            }else{
                for(var i = 0 ; i < CY_index;i++){//CY_index：随机抽样100个像素点
                    var xs = parseInt(Math.random()*(img.width/2)+(img.width/4));
                    var ys = parseInt(Math.random()*(img.height/2)+(img.height/4));
                    xy.push({
                        x:xs,
                        y:ys
                    });
                    var imgData = ctx.getImageData(xs, ys, w, h).data;
                    imgData.forEach(function (e,i) {
                        rgb.push(e);
                    });
                };
            };
            var index = 0,
                key = 0,
                bool = true,
                newrgb = [];
            rgb.forEach(function (i, e) {
                if (bool) {
                    newrgb[key] = new Array();
                    bool = false;
                };
                newrgb[key].push(i);
                if (index == 3) {
                    index = -1;
                    key++;
                    bool = true;
                };
                index++;
            });
            fn(newrgb,xy);
        };
    };
    rgb.init = function (obj,fn) {
        var _this = this;
        obj = obj || {};
        fn = fn || new Function();
        obj.index = obj.index || 100;//默认抽样数据个数
        obj.w = obj.w || 1;//像素大小
        obj.h = obj.h || 1;//像素大小
        _this({obj:obj.obj,w:obj.w,h:obj.h,index:obj.index
        },function (e,xy) {
            var data = e;
            var V = obj.v || 80;//默认匹配率80
            obj.objData.forEach(function (ed,ei) {
                _this({obj:ed,w:obj.w,h:obj.h,xy:xy,index:obj.index},function (E) {
                    var dataB = E;
                    var index = 0;
                    data.forEach(function (A,i) {
                        if(A[0] == dataB[i][0] && A[1] == dataB[i][1] && A[2] == dataB[i][2]){
                            index ++;
                        };
                    });
                    retData =  {};//回调数据
                    if(index >= V){//匹配率比较
                        retData.meg = "匹配成功.";
                        retData.obj = ed;
                        retData.code = 200;
                    }else{
                        retData.meg = "匹配失败.";
                        retData.code = 500;
                    }
                    fn(retData);
                });
            });
            obj.fn = obj.fn || new Function();//匹配结束回调
            obj.fn();
        });
    }
    var imgData = [
        "img/1.jpg",
        "img/1-1.jpg",
        "img/2.jpg",
        "img/2-1.jpg",
        "img/3.jpg",
        "img/3-1.jpg",
        "img/4.jpg",
        "img/4-1.jpg",
        "img/5.jpg",
        "img/5-1.jpg",
        "img/6.jpg",
        "img/6-1.jpg",
        "img/7.jpg",
        "img/7-1.jpg",
        "img/8.jpg",
        "img/8-1.jpg",
        "img/8-2.jpg",
        "img/8-3.jpg",
        "img/8-4.jpg",
        "img/8-5.jpg",
        "img/8-6.jpg",
        "img/8-7.jpg",
        "img/8-8.jpg",
        "img/9.jpg",
        "img/9-1.jpg",
        "img/10.jpg",
        "img/11.jpg",
    ];
    rgb.init({
        obj:"img/8.jpg",//需匹配对象，必填
        objData:imgData,//查询数据，必填
        w:1,//像素大小，可选
        h:1,//像素大小，可选
        v:100,//匹配率，可选
        index:100,//匹配抽样，可选
        fn:function () {//匹配完成回调，可选
            //.....
        }
    },function (e) {//匹配回调
        if(e.code == 200){
            console.log(e.obj);
            $("body").append('<img src="'+e.obj+'"/>');
        };
    });

</script>
</body>
</html>