HTML5組件Canvas實現(xiàn)圖像灰度化(步驟+實例效果)

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    HTML5, 原來如此神奇。程序在google瀏覽器中測試通過,感興趣的朋友可以參考本文講解的HTML5組件Canvas實現(xiàn)圖像灰度化的具體步驟,希望對你有所幫助
    新建一個html頁面,在body tag之間加入
    代碼如下:
    <canvas id="myCanvas" >Gray Filter</canvas>
    添加一段最簡單的JavaScript 腳本
    代碼如下:
    <pre name="code">window.onload = function() {
    var canvas = document.getElementById("myCanvas");
    <span> </span>// TODO: do something here
    }
    從Canvas對象獲取繪制對象上下文Context的代碼如下:
    代碼如下:
    var context = canvas.getContext("2d");
    在html頁面中加入一幅圖像的html代碼如下
    代碼如下:
    <img id="imageSource" src="hanjiaren.jpg" />
    從html img對象中獲取image 對象的javascript代碼如下:
    代碼如下:
    var image = document.getElementById("imageSource");
    將得到的圖像繪制在Canvas對象中的代碼如下:
    代碼如下:
    context.drawImage(image, 0, 0);
    從Canvas對象中獲取圖像像素數(shù)據(jù)的代碼如下:
    代碼如下:
    var canvasData = context.getImageData(0, 0, canvas.width, canvas.height);
    讀取像素值與實現(xiàn)灰度計算的代碼如下:
    代碼如下:
    for ( var x = 0; x < canvasData.width; x++) {
    for ( var y = 0; y < canvasData.height; y++) {
    // Index of the pixel in the array
    var idx = (x + y * canvasData.width) * 4;
    var r = canvasData.data[idx + 0];
    var g = canvasData.data[idx + 1];
    var b = canvasData.data[idx + 2];
    // calculate gray scale value
    var gray = .299 * r + .587 * g + .114 * b;
    // assign gray scale value
    canvasData.data[idx + 0] = gray; // Red channel
    canvasData.data[idx + 1] = gray; // Green channel
    canvasData.data[idx + 2] = gray; // Blue channel
    canvasData.data[idx + 3] = 255; // Alpha channel
    // add black border
    if(x < 8 || y < 8 || x > (canvasData.width - 8) || y > (canvasData.height - 8))
    {
    canvasData.data[idx + 0] = 0;
    canvasData.data[idx + 1] = 0;
    canvasData.data[idx + 2] = 0;
    }
    }
    }
    其中計算灰度公式為 gray color = 0.299 × red color + 0.578 × green color + 0.114 * blue color
    讀取出來的像素值順序為RGBA 分別代表red color, green color, blue color, alpha channel
    處理完成的數(shù)據(jù)要重新載入到Canvas中。代碼如下:
    context.putImageData(canvasData, 0, 0);
    完全源代碼如下:
    代碼如下:
    <html>
    <head>
    <script>
    window.onload = function() {
    var canvas = document.getElementById("myCanvas");
    var image = document.getElementById("imageSource");
    // re-size the canvas deminsion
    canvas.width = image.width;
    canvas.height = image.height;
    // get 2D render object
    var context = canvas.getContext("2d");
    context.drawImage(image, 0, 0);
    var canvasData = context.getImageData(0, 0, canvas.width, canvas.height);
    alert(canvasData.width.toString());
    alert(canvasData.height.toString());
    // gray filter
    for ( var x = 0; x < canvasData.width; x++) {
    for ( var y = 0; y < canvasData.height; y++) {
    // Index of the pixel in the array
    var idx = (x + y * canvasData.width) * 4;
    var r = canvasData.data[idx + 0];
    var g = canvasData.data[idx + 1];
    var b = canvasData.data[idx + 2];
    // calculate gray scale value
    var gray = .299 * r + .587 * g + .114 * b;
    // assign gray scale value
    canvasData.data[idx + 0] = gray; // Red channel
    canvasData.data[idx + 1] = gray; // Green channel
    canvasData.data[idx + 2] = gray; // Blue channel
    canvasData.data[idx + 3] = 255; // Alpha channel
    // add black border
    if(x < 8 || y < 8 || x > (canvasData.width - 8) || y > (canvasData.height - 8))
    {
    canvasData.data[idx + 0] = 0;
    canvasData.data[idx + 1] = 0;
    canvasData.data[idx + 2] = 0;
    }
    }
    }
    context.putImageData(canvasData, 0, 0); // at coords 0,0
    };
    </script>
    </head>
    <body>
    <h2>Hello World!</h2>
    <img id="imageSource" src="hanjiaren.jpg" />
    <canvas id="myCanvas" >Gray Filter</canvas>
    </body>
    </html>
    代碼中的文件可以替換任意你想要看到的圖片文件
    HTML5, 原來如此神奇。程序在google瀏覽器中測試通過,
    最后的忠告,千萬不要在本地嘗試運行上面的代碼,google瀏覽器的安全檢查會自動阻止從瀏覽器中讀寫非domain的文件
    最好在tomcat或者任意個web container的server上發(fā)布以后從google瀏覽器查看效果即可。