在画布上围绕图像的不透明部分绘制边框

IT技术 javascript image canvas html5-canvas border
2021-03-16 18:39:03

我正在使用drawImage. 这是一个被透明像素包围的 PNG,如下所示:

一片草的等距图

如何在画布上该图像的可见部分添加纯色边框?澄清一下:我不想要一个围绕图像边界框的矩形。边界应该围绕草地。

我确实考虑过使用阴影,但我真的不想要发光的边框,我想要一个纯色的边框。

3个回答

有点晚了,但只需绘制比分析边缘快得多的图像偏移量

var ctx = canvas.getContext('2d'),
    img = new Image;

img.onload = draw;
img.src = "http://i.stack.imgur.com/UFBxY.png";

function draw() {

  var dArr = [-1,-1, 0,-1, 1,-1, -1,0, 1,0, -1,1, 0,1, 1,1], // offset array
      s = 2,  // thickness scale
      i = 0,  // iterator
      x = 5,  // final position
      y = 5;
  
  // draw images at offsets from the array scaled by s
  for(; i < dArr.length; i += 2)
    ctx.drawImage(img, x + dArr[i]*s, y + dArr[i+1]*s);
  
  // fill with color
  ctx.globalCompositeOperation = "source-in";
  ctx.fillStyle = "red";
  ctx.fillRect(0,0,canvas.width, canvas.height);
  
  // draw original image in normal mode
  ctx.globalCompositeOperation = "source-over";
  ctx.drawImage(img, x, y);
}
<canvas id=canvas width=500 height=500></canvas>

@epistemex:与其他答案相比,我喜欢你的代码的简洁性,但我在让它完美工作时遇到了一些麻烦,不明白为什么。你能详细解释一下它是如何工作的吗?特别是为什么dArr变量有 8 个坐标对?它们究竟与画布有什么关系?我正在使用它来边界一些非常不规则的路径,这些路径已经被缩放、转换和以其他方式在整个地方进行操作,然后最终在它们周围绘制边界,因此有时边界会被部分切断。有什么想法可以解决这个问题吗?谢谢!
2021-04-16 18:39:03
嗨,肯,欢迎回来!为一个有效的答案点赞。
2021-04-23 18:39:03
透明的图像呢?我该如何解决这个问题?
2021-04-25 18:39:03
@Kenny83 不知道如何在没有看到代码的情况下解决您描述的问题。我建议为它打开一个问题。这样我们就可以更仔细地观察它。
2021-04-30 18:39:03
@Kenny83 当然可以。如前所述,dArr 只是一个偏移量 arr。为了方便。它与画布本身无关。每对都是对于我们要绘制的位置的 (x,y) 偏移量因此,与其使用 8 个 drawImage 调用并手动添加偏移量(例如 x+1、y- 等),我们只需迭代数组并从那里应用对。为什么?仅在 4 个方向上绘制的较厚边框将开始在角落处创建“间隙”,因此您需要绘制更多实例以使边框更平滑。像这里这样的数组可以帮助解决这个问题,但不是唯一的方法。
2021-05-11 18:39:03

在此处输入图片说明==> 在此处输入图片说明==>在此处输入图片说明

一、归因:

正如@Philipp 所说,您需要分析像素数据才能获得轮廓边框。

您可以使用“Marching Squares”算法来确定哪些透明像素与非透明草像素接壤。您可以在此处阅读有关行进平方算法的更多信息:http : //en.wikipedia.org/wiki/Marching_squares

Michael Bostock 在他的d3数据可视化应用程序中有一个非常好的 Marching Squares 插件版本(恕我直言,d3 是可用的最好的开源数据可视化程序)。这是插件的链接:https : //github.com/d3/d3-plugins/tree/master/geom/contour

您可以像这样勾勒草图像的边框:

  • 在画布上绘制您的图像

  • 使用获取图像的像素数据 .getImageData

  • 配置插件以查找与不透明像素接壤的透明像素

    // This is used by the marching ants algorithm
    // to determine the outline of the non-transparent
    // pixels on the image using pixel data
    var defineNonTransparent=function(x,y){
        var a=data[(y*cw+x)*4+3];
        return(a>20);
    }
    
  • 调用返回一组点的插件,这些点勾勒出图像的边界。

    // call the marching ants algorithm
    // to get the outline path of the image
    // (outline=outside path of transparent pixels
    points=geom.contour(defineNonTransparent);
    
  • 使用一组点在图像周围绘制路径。

这是带注释的代码和演示:

// Marching Squares Edge Detection
// this is a "marching ants" algorithm used to calc the outline path
(function() {
  // d3-plugin for calculating outline paths
  // License: https://github.com/d3/d3-plugins/blob/master/LICENSE
  //
  // Copyright (c) 2012-2014, Michael Bostock
  // All rights reserved.
  //
  //  Redistribution and use in source and binary forms, with or without
  //  modification, are permitted provided that the following conditions are met:
  //* Redistributions of source code must retain the above copyright notice, this
  //  list of conditions and the following disclaimer.
  //* Redistributions in binary form must reproduce the above copyright notice,
  //  this list of conditions and the following disclaimer in the documentation
  //  and/or other materials provided with the distribution.
  //* The name Michael Bostock may not be used to endorse or promote products
  //  derived from this software without specific prior written permission.
  // THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL MICHAEL BOSTOCK BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. 
  geom = {}; 
  geom.contour = function(grid, start) { 
    var s = start || d3_geom_contourStart(grid), // starting point 
        c = [],    // contour polygon 
        x = s[0],  // current x position 
        y = s[1],  // current y position 
        dx = 0,    // next x direction 
        dy = 0,    // next y direction 
        pdx = NaN, // previous x direction 
        pdy = NaN, // previous y direction 
        i = 0; 

    do { 
      // determine marching squares index 
      i = 0; 
      if (grid(x-1, y-1)) i += 1; 
      if (grid(x,   y-1)) i += 2; 
      if (grid(x-1, y  )) i += 4; 
      if (grid(x,   y  )) i += 8; 

      // determine next direction 
      if (i === 6) { 
        dx = pdy === -1 ? -1 : 1; 
        dy = 0; 
      } else if (i === 9) { 
        dx = 0; 
        dy = pdx === 1 ? -1 : 1; 
      } else { 
        dx = d3_geom_contourDx[i]; 
        dy = d3_geom_contourDy[i]; 
      } 

      // update contour polygon 
      if (dx != pdx && dy != pdy) { 
        c.push([x, y]); 
        pdx = dx; 
        pdy = dy; 
      } 

      x += dx; 
      y += dy; 
    } while (s[0] != x || s[1] != y); 

    return c; 
  }; 

  // lookup tables for marching directions 
  var d3_geom_contourDx = [1, 0, 1, 1,-1, 0,-1, 1,0, 0,0,0,-1, 0,-1,NaN], 
      d3_geom_contourDy = [0,-1, 0, 0, 0,-1, 0, 0,1,-1,1,1, 0,-1, 0,NaN]; 

  function d3_geom_contourStart(grid) { 
    var x = 0, 
        y = 0; 

    // search for a starting point; begin at origin 
    // and proceed along outward-expanding diagonals 
    while (true) { 
      if (grid(x,y)) { 
        return [x,y]; 
      } 
      if (x === 0) { 
        x = y + 1; 
        y = 0; 
      } else { 
        x = x - 1; 
        y = y + 1; 
      } 
    } 
  } 

})();


//////////////////////////////////////////

// canvas related variables
var canvas=document.getElementById("canvas");
var ctx=canvas.getContext("2d");
var cw=canvas.width;
var ch=canvas.height;

// checkbox to show/hide the original image
var $showImage=$("#showImage");
$showImage.prop('checked', true);

// checkbox to show/hide the path outline
var $showOutline=$("#showOutline");
$showOutline.prop('checked', true);

// an array of points that defines the outline path
var points;

// pixel data of this image for the defineNonTransparent 
// function to use
var imgData,data;

// This is used by the marching ants algorithm
// to determine the outline of the non-transparent
// pixels on the image
var defineNonTransparent=function(x,y){
  var a=data[(y*cw+x)*4+3];
  return(a>20);
}

// load the image
var img=new Image();
img.crossOrigin="anonymous";
img.onload=function(){

  // draw the image
  // (this time to grab the image's pixel data
  ctx.drawImage(img,canvas.width/2-img.width/2,canvas.height/2-img.height/2);

  // grab the image's pixel data
  imgData=ctx.getImageData(0,0,canvas.width,canvas.height);
  data=imgData.data;

  // call the marching ants algorithm
  // to get the outline path of the image
  // (outline=outside path of transparent pixels
  points=geom.contour(defineNonTransparent);

  ctx.strokeStyle="red";
  ctx.lineWidth=2;

  $showImage.change(function(){ redraw(); });

  $showOutline.change(function(){ redraw(); });

  redraw();

}
img.src="http://i.imgur.com/QcxIJxa.png";

// redraw the canvas
// user determines if original-image or outline path or both are visible
function redraw(){

  // clear the canvas
  ctx.clearRect(0,0,canvas.width,canvas.height);

  // draw the image
  if($showImage.is(':checked')){
    ctx.drawImage(img,canvas.width/2-img.width/2,canvas.height/2-img.height/2);
  }

  // draw the path (consisting of connected points)
  if($showOutline.is(':checked')){
    // draw outline path
    ctx.beginPath();
    ctx.moveTo(points[0][0],points[0][4]);
    for(var i=1;i<points.length;i++){
      var point=points[i];
      ctx.lineTo(point[0],point[1]);
    }
    ctx.closePath();
    ctx.stroke();
  }

}
body{ background-color: ivory; }
canvas{border:1px solid red;}
<script src="https://ajax.googleapis.com/ajax/libs/jquery/1.9.1/jquery.min.js"></script>
<input type="checkbox" id="showImage" />Show Image<br>
<input type="checkbox" id="showOutline" />Show Outline Path<br>
<canvas id="canvas" width=300 height=450></canvas>

虽然K3N对这个问题回答更准确,但我要感谢您提供一种获取路径点的方法,它不仅可以为您提供大纲 :)
2021-04-16 18:39:03
该代码段已损坏,因为示例图像返回 404。
2021-04-18 18:39:03
效果很好。它可以用于具有两个独立形状的图像,例如-sportsauthority.com/graphics/product_images/...
2021-04-21 18:39:03
惊人的答案!完美运行。
2021-05-08 18:39:03

我正在寻找一种方法来做到这一点,似乎只有费力的解决方案。

我想出了一个使用阴影和循环来在图像周围显示它们的小解决方法:

// Shadow color and blur
// To get a blurry effect use rgba() with a low opacity as it will be overlaid
context.shadowColor = "red";
context.shadowBlur = 0;

// X offset loop
for(var x = -2; x <= 2; x++){
    // Y offset loop
    for(var y = -2; y <= 2; y++){
        // Set shadow offset
        context.shadowOffsetX = x;
        context.shadowOffsetY = y;

        // Draw image with shadow
        context.drawImage(img, left, top, width, height);
    }
}