我发现这个脚本用于将图像转换为黑白图像,效果很好,但我希望能够更好地理解代码。我以评论的形式将我的问题放在代码中。
任何人都可以更详细地解释这里发生的事情:
function grayscale(src){ //Creates a canvas element with a grayscale version of the color image
var canvas = document.createElement('canvas');
var ctx = canvas.getContext('2d');
var imgObj = new Image();
imgObj.src = src;
canvas.width = imgObj.width;
canvas.height = imgObj.height;
ctx.drawImage(imgObj, 0, 0); //Are these CTX functions documented somewhere where I can see what parameters they require / what those parameters mean?
var imgPixels = ctx.getImageData(0, 0, canvas.width, canvas.height);
for(var y = 0; y < imgPixels.height; y++){
for(var x = 0; x < imgPixels.width; x++){
var i = (y * 4) * imgPixels.width + x * 4; //Why is this multiplied by 4?
var avg = (imgPixels.data[i] + imgPixels.data[i + 1] + imgPixels.data[i + 2]) / 3; //Is this getting the average of the values of each channel R G and B, and converting them to BW(?)
imgPixels.data[i] = avg;
imgPixels.data[i + 1] = avg;
imgPixels.data[i + 2] = avg;
}
}
ctx.putImageData(imgPixels, 0, 0, 0, 0, imgPixels.width, imgPixels.height);
return canvas.toDataURL();
}
答案 0 :(得分:11)
与大多数函数一样,canvas函数在an official specification中描述。此外,MDC有助于更多“非正式”文章。例如。 MDC上的drawImage
函数为here。
getImageData
函数返回一个对象,该对象包含一个包含所有像素字节数据的数组。每个像素由4个字节描述:r
,g
,b
和a
。
r
,g
和b
是颜色组件(红色,绿色和蓝色),alpha是不透明度。因此每个像素使用4个字节,因此像素的数据从pixel_index * 4
开始。
是的,它是对这些值进行平均。因为在接下来的3行r
,g
和b
都设置为相同的值,您将获得每个像素的灰色(因为所有3个组件的数量都是同样的。)
所以基本上,对于所有像素,这将保持:r === g
,g === b
,因此也r === b
。其所持有的颜色为灰度(0, 0, 0
为黑色,255, 255, 255
为白色。)
答案 1 :(得分:8)
function grayscale(src){ //Creates a canvas element with a grayscale version of the color image
//create canvas
var canvas = document.createElement('canvas');
//get its context
var ctx = canvas.getContext('2d');
//create empty image
var imgObj = new Image();
//start to load image from src url
imgObj.src = src;
//resize canvas up to size image size
canvas.width = imgObj.width;
canvas.height = imgObj.height;
//draw image on canvas, full canvas API is described here http://www.whatwg.org/specs/web-apps/current-work/multipage/the-canvas-element.html
ctx.drawImage(imgObj, 0, 0);
//get array of image pixels
var imgPixels = ctx.getImageData(0, 0, canvas.width, canvas.height);
//run through all the pixels
for(var y = 0; y < imgPixels.height; y++){
for(var x = 0; x < imgPixels.width; x++){
//here is x and y are multiplied by 4 because every pixel is four bytes: red, green, blue, alpha
var i = (y * 4) * imgPixels.width + x * 4; //Why is this multiplied by 4?
//compute average value for colors, this will convert it to bw
var avg = (imgPixels.data[i] + imgPixels.data[i + 1] + imgPixels.data[i + 2]) / 3;
//set values to array
imgPixels.data[i] = avg;
imgPixels.data[i + 1] = avg;
imgPixels.data[i + 2] = avg;
}
}
//draw pixels according to computed colors
ctx.putImageData(imgPixels, 0, 0, 0, 0, imgPixels.width, imgPixels.height);
return canvas.toDataURL();
}
在此函数中使用等于1/3的系数,但通常使用的是:0.3R + 0.59G + 0.11B(http://gimp-savvy.com/BOOK/index.html?node54.html)