filter/convolutionMatrixFilter.html at master · chocho-1115/filter · GitHub

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<!DOCTYPE html>
<html xmlns="http://www.w3.org/1999/xhtml">
<meta http-equiv="Content-Type" content="text/html; charset=utf-8" />
<head>
<title>ConvolutionMatrixFilter</title>
<link rel="stylesheet" href="css/examples.css" />
</head>
<body>
<div id="imgEleBox"></div>
<canvas id="canvas" width="640" height="800"></canvas>
</body>
</html>

<script src="js/examples.js"></script>

<script src="js/Filter.js"></script>
<script src="js/preloadImage.js"></script>
<script src="js/ConvolutionMatrixFilter.js"></script>

<script type="text/javascript">
function fft(dataArray) {
    // 复数乘法
    this.mul = function(a, b) {
        if(typeof(a)!=='object') {
            a = {real: a, imag: 0}
        }
        if(typeof(b)!=='object') {
            b = {real: b, imag: 0}
        }
        return {
            real: a.real*b.real-a.imag*b.imag,
            imag: a.real*b.imag+a.imag*b.real
        };
    };

    // 复数加法
    this.add = function(a, b) {
        if(typeof(a)!=='object') {
            a = {real: a, imag: 0}
        }
        if(typeof(b)!=='object') {
            b = {real: b, imag: 0}
        }
        return {
            real: a.real+b.real,
            imag: a.imag+b.imag
        };
    };

    // 复数减法
    this.sub = function(a, b) {
        if(typeof(a)!=='object') {
            a = {real: a, imag: 0}
        }
        if(typeof(b)!=='object') {
            b = {real: b, imag: 0}
        }
        return {
            real: a.real-b.real,
            imag: a.imag-b.imag
        };
    };

    // 倒位序排列
    this.sort = function(data, r) {
        if(data.length <=2) {
            return data;
        }
        var index = [0,1];
        for(var i=0; i<r-1; i++) {
            var tempIndex = [];
            for(var j=0; j<index.length; j++) {
                tempIndex[j] = index[j]*2;
                tempIndex[j+index.length] = index[j]*2+1;
            }
            index = tempIndex;
        }
        var datatemp = [];
        for(var i=0; i<index.length; i++) {
            datatemp.push(data[index[i]]);
        }
        return datatemp;
    };

    var dataLen = dataArray.length;
    var r = 1; // 迭代次数
    var i = 1;
    while(i*2 < dataLen) {
        i *= 2;
        r++;
    }
    var count = 1<<r; // 相当于count=2^r

    // 如果数据dataArray的长度不是2^N，则开始补0
    for(var i=dataLen; i<count; i++) {
        dataArray[i] = 0;
    }

    // 倒位序处理
    dataArray = this.sort(dataArray, r);

    // 计算加权系数w
    var w = [];
    for(var i=0; i<count/2; i++) {
        var angle = -i*Math.PI*2/count;
        w.push({real: Math.cos(angle), imag: Math.sin(angle)});
    }

    for(var i=0; i<r; i++) { // 级循环
        var group = 1<<(r-1-i);
        var distance = 1<<i;
        var unit = 1<<i;
        for(var j=0; j<group; j++) { // 组循环
            var step = 2*distance*j;
            for(var k=0; k<unit; k++) { // 计算单元循环
                var temp = this.mul(dataArray[step+k+distance], w[count*k/2/distance]);
                dataArray[step+k+distance] = this.sub(dataArray[step+k], temp);
                dataArray[step+k] = this.add(dataArray[step+k], temp);
            }
        }
    }
    return dataArray;
}


function ifft(dataArray) {
    for(var i=0, dataLen=dataArray.length; i<dataLen; i++) {
        if(typeof(dataArray[i])!='object'){
            dataArray[i] = {
                real: dataArray[i],
                imag: 0
            }
        }
        dataArray[i].imag *= -1;
    }
    dataArray = fft(dataArray);
    for(var i=0, dataLen=dataArray.length; i<dataLen; i++) {
        dataArray[i].real *= 1/dataLen;
        dataArray[i].imag *= -1/dataLen;
    }
    return dataArray;
}

function fft2(dataArray, width, height) {
    var r = 1;
    var i = 1;
    while(i*2 < width) {
        i *= 2;
        r++;
    }
    var width2 = 1<<r;
    var r = 1;
    var i = 1;
    while(i*2 < height) {
        i *= 2;
        r++;
    }
    var height2 = 1<<r;

    var dataArrayTemp = [];
    for(var i=0; i<height2; i++) {
        for(var j=0; j<width2; j++) {
            if(i>=height || j>=width) {
                dataArrayTemp.push(0);
            }
            else {
                dataArrayTemp.push(dataArray[i*width+j]);
            }
        }
    }

    dataArray = dataArrayTemp;
    width = width2;
    height = height2;

    var dataTemp = [];
    var dataArray2 = [];
    for(var i=0; i<height; i++) {
        dataTemp = [];
        for(var j=0; j<width; j++) {
            dataTemp.push(dataArray[i*width+j]);
        }
        dataTemp = fft(dataTemp);
        for(var j=0; j<width; j++) {
            dataArray2.push(dataTemp[j]);
        }
    }
    dataArray = dataArray2;
    dataArray2 = [];
    for(var i=0; i<width; i++) {
        var dataTemp = [];
        for(var j=0; j<height; j++) {
            dataTemp.push(dataArray[j*width+i]);
        }
        dataTemp = fft(dataTemp);
        for(var j=0; j<height; j++) {
            dataArray2.push(dataTemp[j]);
        }
    }
    dataArray = [];
    for(var i=0; i<height; i++) {
        for(var j=0; j<width; j++) {
            dataArray[j*height+i] = dataArray2[i*width+j];
        }
    }
    return dataArray;
}


window.onload = function(){

	var imgW = imgH = 150;

	initCanvas({
		imgW:imgW,
		imgH:imgH,
		imgMargin:5,
		rowLen:8
	})

    //用preload加载图片 如果只加载一张图片  preload的第一个参数可以是字符串

    FILTER.preload(['images/img.jpg','images/10.jpg','images/11.gif'],{fileload:function(item){

				item.result.width=imgW;//这里设置图片宽高 是会缩放图片的
				item.result.height=imgW;

				var F1 = new FILTER.Create(item.result);

				F1.setBounds(0, 0, imgW, imgW);

				//显示原图
				addImgToCan(F1,'original');

			var matrix = [-1, -1, -1, -1, 8, -1, -1, -1, -1];
			var cmf = new FILTER.ConvolutionMatrixFilter(matrix);
			cmf.apply(F1.imgData);
			addImgToCan(F1,'边缘查找（3*3）');

			F1.reset();
			var matrix_ = [-1, 0, 1, -2, 0, 2, -1, 0, 1];
			var cmf = new FILTER.ConvolutionMatrixFilter(matrix_);
			cmf.apply(F1.imgData);
			addImgToCan(F1,'索贝尔横向边缘检测（3*3）');

			F1.reset();
			var matrix_ = [0, 0, 0, -1, 1, 0, 0, 0, 0];
			var cmf = new FILTER.ConvolutionMatrixFilter(matrix_);
			cmf.apply(F1.imgData,1,100);
			addImgToCan(F1,'横向边缘检测（3*3）');

			F1.reset();
			var matrix_ = [1,1,1,1,1,1,1,1,1];
			var cmf = new FILTER.ConvolutionMatrixFilter(matrix_);
			//cmf.awakeChannels[2] = false;
			cmf.apply(F1.imgData,9,0);
			addImgToCan(F1,'模糊（3*3）');

			F1.reset();
			var matrix_ = [0,-1,0,-1,5,-1,0,-1,0];
			var cmf = new FILTER.ConvolutionMatrixFilter(matrix_);
			cmf.apply(F1.imgData);
			addImgToCan(F1,'锐化（3*3）');

			F1.reset();
			var matrix_ = [-2, -1, 0, -1, 1, 1, 0, 1, 2];
			var cmf = new FILTER.ConvolutionMatrixFilter(matrix_);
			//cmf.setAwakeChannel(false,false,true)
			cmf.apply(F1.imgData);
			addImgToCan(F1,'浮雕（3*3）');


			F1.reset();
			var matrix_ = [0, 0, 0, 0, 2, 0, 0, 0, 0];
			var cmf = new FILTER.ConvolutionMatrixFilter(matrix_);
			cmf.apply(F1.imgData, 1,-150);
			addImgToCan(F1,'对比度增强（3*3）');


		},complete:function(result){
			console.log(result)
			/*---------------------*/
			//console.log(result)
			result[1].width=imgW;//这里设置图片宽高 是会缩放图片的
			result[1].height=imgW;

			var F1 = new FILTER.Create(result[1]);

			//F1.setBounds(0, 0, imgW, imgW);

			//var copyData = F1.copyData();

			var matrix = [2, 4, 5, 4, 2,
						  4, 9, 12,9, 4,
						  5, 12,15,12,5,
						  4, 9, 12,9, 4,
						  2, 4, 5, 4, 2];

			var matrix_ = FILTER.MMatrix.multiplyScalar(matrix,1/139);
			var cmf = new FILTER.ConvolutionMatrixFilter(matrix_);
			cmf.apply(F1.imgData);
			addImgToCan(F1,'消除噪声（卷积核:3*3）');//浮雕


			//F1.reset()
			//console.log(F1.imgData.data.length)
			//console.log(fft2(F1.imgData.data,F1.imgData.width,F1.imgData.height).length)

			console.log(fft(F1.imgData.data,F1.imgData.width,F1.imgData.height).length)

			F1.imgData.data.set(fft(F1.imgData.data,F1.imgData.width,F1.imgData.height));
			//console.log(F1.imgData.data.length)
			addImgToCan(F1,'消除噪声（卷积核:3*3）');//浮雕


			var arr = new Uint8ClampedArray( [255,255,255,255,255,255,255,255,255,255,255,255,255,255,255,255] );
			var arr_img = new ImageData(arr, 2, 2);
			window.cont2D.putImageData(arr_img, 500, 500);


			var arr = new Uint8ClampedArray( [255,255,255,255,255,255,255,255,255,255,255,255,255,255,255,255] );
			var arr_img = window.cont2D.createImageData(2,2)
			arr_img.data.set(arr);
			window.cont2D.putImageData(arr_img, 550, 550);

			var a = Array;
			//console.log(a)

		}});


};


</script>