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圍繞給定坐標旋轉像素

[英]Rotate the pixels around a given coordinate

我前段時間制作了一個太陽系動畫,現在正在重寫它。 我將向物體添加重力效果,並使該效果可見,我將背景變成了網格。

我將添加兩種不同的效果; 捏和旋轉。 我正在關注Geek Office Dog的教程:嗨,漩渦! (JavaScript中的漩渦效果教程) 首先,我想逐步了解旋轉的工作原理。

這是站點jsFiddle的簡單旋轉演示摘錄。 該代碼對我來說似乎很混亂,因此我對其進行了修改和簡化: jsFiddle

 var canvas = document.getElementById("canvas"); var context = canvas.getContext("2d"); var img = new Image(); img.src = document.getElementById("test-image").src; img.onload = function () { context.drawImage(img, 0, 0); originalImageData = context.getImageData(0, 0, canvas.width, canvas.height); originalPixels = originalImageData.data; transformedImageData = context.createImageData(originalImageData); transformedPixels = transformedImageData.data; originX = 100; originY = 100; radius = 50; // copying the original pixels into transformed pixels for (var y = 0; y < originalImageData.height; y++) { for (var x = 0; x < originalImageData.width; x++) { var position = (y * originalImageData.width + x) * 4; transformedPixels[position + 0] = originalPixels[position + 0]; transformedPixels[position + 1] = originalPixels[position + 1]; transformedPixels[position + 2] = originalPixels[position + 2]; transformedPixels[position + 3] = originalPixels[position + 3]; } } // Iterate over the interest square region for (var y = -radius; y < radius; y++) { for (var x = -radius; x < radius; x++) { // Check if the pixel is inside the effect circle if (x * x + y * y <= radius * radius) { // Get the pixel array position var sourcePosition = (y + originY) * originalImageData.width + x + originX; sourcePosition *= 4; // Transform the pixel cartesian coordinates (x, y) to polar coordinates (r, angle) var r = Math.sqrt(x * x + y * y); var angle = Math.atan2(y, x); // convert the angle from radian to degree var degrees = (angle * 180.0) / Math.PI; // rotate the pixels degrees -= 30.0; // Transform back from polar coordinates to cartesian angle = (degrees * Math.PI) / 180.0; var newY = Math.floor(r * Math.sin(angle)); var newX = Math.floor(r * Math.cos(angle)); // Get the new pixel location var destPosition = (newY + originY) * originalImageData.width + newX + originX; destPosition *= 4; transformedPixels[destPosition + 0] = originalPixels[sourcePosition + 0]; transformedPixels[destPosition + 1] = originalPixels[sourcePosition + 1]; transformedPixels[destPosition + 2] = originalPixels[sourcePosition + 2]; transformedPixels[destPosition + 3] = originalPixels[sourcePosition + 3]; } } } context.putImageData(transformedImageData, 0, 0); }; 
 <table> <tr> <td>image</td> <td>image</td> <td>canvas</td> </tr> <tr> <td><img id="test-image" border="1" 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"></td> <td><img id="image-area" border="1" src="http://i1115.photobucket.com/albums/k544/akinuri/download%201.png"></td> <td><canvas id="canvas" style="border: 1px solid blue" width="227" height="213"></canvas></td> </tr> </table> 

我不理解// Iterate over the interest square region 為什么它在-radiusradius之間循環,並且x * x + y * y <= radius * radius到底如何檢查像素是否在圓內?

我無法在腦海中想象代碼的那部分正在發生什么。 然而。


更新:好的,因此,在考慮了一下之后,我想在循環中:

// Iterate over the interest square region
    for (var y = -radius; y < radius; y++) {
        for (var x = -radius; x < radius; x++) {

            // Check if the pixel is inside the effect circle
            if (x * x + y * y <= radius * radius) {

我們實際上不是在迭代圖像上的區域,而是在理論上進行迭代。

在此處輸入圖片說明

並檢查當前(x,y)是否在圓內。 如果是,則在下一行代碼中,我們計算圖像上(x,y)的實際位置:

// Get the pixel array position
var sourcePosition = (y + originY) * originalImageData.width + x + originX;
sourcePosition *= 4;

循環(+ if)只是給我們圓內每個像素的坐標,然后我們將這些(x,y)坐標移位(originX,originY)值,以便獲得圖像上的實際坐標。

我對么? 是嗎 (對不起,我很興奮:)

容易的部分優先:)

x * x + y * y <= radius * radius

這只是畢達哥拉斯:

在此處輸入圖片說明

現在,如果您查看該圖片,則x和y在-r和r之間振盪也很明顯嗎? :)試想一下,這些坐標在圓的最左端,最左端……是什么:)

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