opencv.js双边滤波 磨皮处理
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 | <!DOCTYPE html> <html> <head> <meta charset= "UTF-8" > <meta http-equiv= "X-UA-Compatible" content= "ie=edge" > <meta name= "viewport" content= "width=device-width, initial-scale=1.0" > <title>OpenCV.js</title> <style type= "text/css" > .inputoutput { float: left; margin: 10px; } </style> </head> <body> <h3 id= "status" >OpenCV.js is loading...</h3> <select id= "select" > <option value= "bilateralFilter" >双边滤波(bilateralFilter)</option> </select> <div> <div class = "inputoutput" > <img id= "imageSrc" alt= "No Image" /> <div class = "caption" >imageSrc <input type= "file" id= "fileInput" name= "file" /></div> </div> <div class = "inputoutput" > <canvas id= "canvasOutput" ></canvas> <div class = "caption" >canvasOutput</div> </div> </div> <script type= "text/javascript" > let imgElement = document.getElementById( 'imageSrc' ); let inputElement = document.getElementById( 'fileInput' ); let select = document.getElementById( 'select' ); inputElement.addEventListener( 'change' , (e) => { imgElement.src = URL.createObjectURL(e.target.files[0]); }, false ); select.addEventListener( 'change' , (e) => { // imgElement.src = URL.createObjectURL(e.target.files[0]); console.log(select.value) }, false ); imgElement.onload = function () { let mat = cv.imread(imgElement); mat = bilateralFilter(mat, 4, 3); cv.imshow( 'canvasOutput' , mat); mat. delete (); }; function onOpenCvReady() { document.getElementById( 'status' ).innerHTML = 'OpenCV.js is ready.' ; } function bilateralFilter(image, value1, value2) { let dst = new cv.Mat(); if (value1 == null || value1 == undefined) value1 = 3; //磨皮系数 if (value2 == null || value2 == undefined) value2 = 1; //细节系数 0.5 - 2 var dx = value1 * 5; //双边滤波参数 var fc = value1 * 12.5; //参数 var p = 0.1; //透明度 let temp1 = new cv.Mat(), temp2 = new cv.Mat(), temp3 = new cv.Mat(), temp4 = new cv.Mat(); cv.cvtColor(image, image, cv.COLOR_RGBA2RGB, 0); cv.bilateralFilter(image, temp1, dx, fc, fc); //bilateralFilter(Src) let temp22 = new cv.Mat(); cv.subtract(temp1, image, temp22); //bilateralFilter(Src) - Src cv.add(temp22, new cv.Mat(image.rows, image.cols, image.type(), new cv.Scalar(128, 128, 128, 128)), temp2); //bilateralFilter(Src) - Src + 128 cv.GaussianBlur(temp2, temp3, new cv.Size(2 * value2 - 1, 2 * value2 - 1), 0, 0); //2 * GuassBlur(bilateralFilter(Src) - Src + 128) - 1 let temp44 = new cv.Mat(); temp3.convertTo(temp44, temp3.type(), 2, -255); //2 * GuassBlur(bilateralFilter(Src) - Src + 128) - 256 cv.add(image, temp44, temp4); cv.addWeighted(image, p, temp4, 1 - p, 0.0, dst); //Src * (100 - Opacity) cv.add(dst, new cv.Mat(image.rows, image.cols, image.type(), new cv.Scalar(10, 10, 10, 0)), dst); //(Src * (100 - Opacity) + (Src + 2 * GuassBlur(bilateralFilter(Src) - Src + 128) - 256) * Opacity) /100 return dst; } </script> <script async src= "js/opencv.js" onload= "onOpenCvReady();" type= "text/javascript" ></script> </body> </html> |
代码地址:https://github.com/dnoyeb/opencv-js
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