HTML5组件Canvas实现图像灰度化(步骤+实例效果)
HTML5组件Canvas实现图像灰度化(步骤+实例效果)
新建一个html页面,在body tag之间加入
<canvas id="myCanvas" >Gray Filter</canvas>
添加一段最简单的JavaScript 脚本
<pre name="code" class="javascript">window.onload = function() { var canvas = document.getElementById("myCanvas"); <span style="white-space:pre"> </span>// TODO: do something here }
从Canvas对象获取绘制对象上下文Context的代码如下: var context = canvas.getContext("2d");
<img id="imageSource" src="hanjiaren.jpg" alt="Canvas Source" />
var image = document.getElementById("imageSource");
context.drawImage(image, 0, 0);
var canvasData = context.getImageData(0, 0, canvas.width, canvas.height);
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;
}
}
}
其中计算灰度公式为 gray color = 0.299 × red color + 0.578 × green color + 0.114 * blue color
读取出来的像素值顺序为RGBA 分别代表red color, green color, blue color, alpha channel
处理完成的数据要重新载入到Canvas中。代码如下:
context.putImageData(canvasData, 0, 0);
程序最终的效果如下:
完全源代码如下:
<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>Hello World!
<img id="imageSource" src="hanjiaren.jpg" alt="Canvas Source" /> <canvas id="myCanvas" >Gray Filter</canvas>
代码中的文件可以替换任意你想要看到的图片文件
HTML5, 原来如此神奇。程序在google浏览器中测试通过,
最后的忠告,千万不要在本地尝试运行上面的代码,google浏览器的安全检查会自动阻止从浏览器中读写非domain的文件
最好在tomcat或者任意个web container的server上发布以后从google浏览器查看效果即可。
以上就是HTML5组件Canvas实现图像灰度化(步骤+实例效果)的内容,更多相关内容请关注PHP中文网(www.php.cn)!

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