如何从个人资料照片中制作照片？

3

计算每个轮廓图像的平均RGB值。
在Photoshop（或几乎任何其他图形编辑软件），创建一个包含所有这些颜色
加载要渲染和规模下来，以使照片的自定义调色板的宽度和高度以像素为单位对应于您想要在每个维度中显示的配置文件图像的数量。
使用您在步骤1中创建的调色板将图像的位深度缩小到8位或更少。确保在执行此操作时选择了“抖动”选项。
编写一个脚本来读取下采样图像并创建一个更大的图像，其中下采样图像的每个像素都被转换为单个配置文件图像。

可能的增强功能：如果存在超过256个配置文件图像，则可能会以比单个颜色表中容纳的颜色更多的颜色结束。将相似的颜色聚类在一起，并在渲染大图像时从这些组中随机选择图像。您甚至可以根据光线和阴影的分布与原始图像相应部分的分布相匹配的程度来选择图像。

来源

2013-11-24 14:27:14

0

这里是一个Python项目，达到照片拼接效果你想找的：http://john2x.com/projects/photomosaic/

和

上GitHUB

来源

2013-11-25 08:52:15 Chamilyan

0

我只是写了一个程序来办，今天在C＃。我看到了一张照片马赛克，我突然想到你会怎么做，所以我把它们作为一种概念验证。我的第二次尝试。有点吹我的脑海：

public void BuildMosaic(string srcFolder, string picFileSrc, string mosaicFile, uint mosaicSizeMultiplier, Size numTiles) 
{ 
    // The file we're going to create a mosaic of 
    Image srcPic = Image.FromFile(picFileSrc); 
    int mosaicWidth = srcPic.Width * (int)mosaicSizeMultiplier; 
    int mosaicHeight = srcPic.Height * (int)mosaicSizeMultiplier; 
    int thumbWidth = mosaicWidth/numTiles.Width; 
    int thumbHeight = mosaicHeight/numTiles.Height; 

    List<ImageInfo> imageInfos = new List<ImageInfo>(); 
    foreach (string filename in Directory.GetFiles(srcFolder)) 
    { 
     string ext = Path.GetExtension(filename).ToUpper(); 
     if (ext == ".JPG" || ext == ".PNG" || ext == ".GIF" || ext == ".JPEG") 
     { 
      imageInfos.Add(ImageInfo.FromImage(filename, new Size(thumbWidth, thumbHeight))); 
     } 
    } 

    int segmentWidth = srcPic.Width/numTiles.Width; 
    int segmentHeight = srcPic.Height/numTiles.Height; 

    Image mosaic = new Bitmap(mosaicWidth, mosaicHeight); 
    Bitmap segBmp = new Bitmap(segmentWidth, segmentHeight); 
    for (int tileX = 0; tileX < numTiles.Width; tileX++) 
    for(int tileY = 0; tileY < numTiles.Height; tileY++) 
    { 
     // Create a bitmap from the original image that we'll try to match a tile to. 
     using (Graphics g = Graphics.FromImage(segBmp)) 
     { 
      g.DrawImage(srcPic, new Rectangle(0, 0, segmentWidth, segmentHeight), new Rectangle(tileX * segmentWidth, tileY * segmentHeight, segmentWidth, segmentHeight), GraphicsUnit.Pixel); 
     } 
     ImageInfo segInfo = ImageInfo.FromImage(segBmp); 

     // Find the matching tile and paint it onto our mosaic 
     ImageInfo match = segInfo.FindMatch(imageInfos.ToArray()); 
     using (Graphics g = Graphics.FromImage(mosaic)) 
     { 
      g.DrawImage(match.Thumbnail, tileX * thumbWidth, tileY * thumbHeight); 
     } 
    } 
    segBmp.Dispose(); 
    mosaic.Save(mosaicFile, ImageFormat.Jpeg); 
    mosaic.Dispose(); 
}

和的imageinfo类：

public class ImageInfo 
{ 
    private ImageInfo() 
    { 
    } 

    public string Filename { get; private set; } 
    public int Blue { get; private set; } 
    public int Green { get; private set; } 
    public int Red { get; private set; } 
    public System.Drawing.Image Thumbnail { get; private set; } 

    // Calculate color distance 
    private float CalcDistance(ImageInfo otherImage) 
    { 
     int blueDiff = Math.Abs(Blue - otherImage.Blue); 
     int greenDiff = Math.Abs(Green - otherImage.Green); 
     int redDiff = Math.Abs(Red - otherImage.Red); 
     return (float) Math.Sqrt(blueDiff * blueDiff + greenDiff * greenDiff + redDiff * redDiff); 
    } 

    // Find the image with the closes matching color average 
    internal ImageInfo FindMatch(ImageInfo[] list) 
    { 
     ImageMatch closest = null; 
     foreach (ImageInfo ii in list) 
     { 
      if (closest == null) 
      { 
       closest = new ImageMatch() 
       { 
        Distance = CalcDistance(ii), 
        Info = ii 
       }; 
       continue; 
      } 
      float dist = CalcDistance(ii); 
      if (dist < closest.Distance) 
      { 
       closest = new ImageMatch() 
       { 
        Distance = CalcDistance(ii), 
        Info = ii 
       }; 
      } 
     } 
     return closest.Info; 
    } 

    internal static ImageInfo FromImage(System.Drawing.Bitmap srcBmp) 
    { 
     ImageStatistics stats = new ImageStatistics(srcBmp); 
     return new ImageInfo() 
     { 
      Blue = (int)stats.Blue.Mean, 
      Green = (int)stats.Green.Mean, 
      Red = (int)stats.Red.Mean 
     }; 
    } 

    internal static ImageInfo FromImage(string filename, System.Drawing.Size thumbSize) 
    { 
     using(System.Drawing.Bitmap bmp = System.Drawing.Bitmap.FromFile(filename) as System.Drawing.Bitmap) 
     { 
      ImageStatistics stats = new ImageStatistics(bmp); 
      return new ImageInfo() 
      { 
       Filename = filename, 
       Blue = (int)stats.Blue.Mean, 
       Green = (int)stats.Green.Mean, 
       Red = (int)stats.Red.Mean, 
       Thumbnail = new System.Drawing.Bitmap(bmp, thumbSize) 
      }; 
     } 
    } 

    internal class ImageMatch 
    { 
     public float Distance { get; set; } 
     public ImageInfo Info { get; set; } 
    } 
}

第一个参数是与所有的 “平铺” 图像的目录。他们可以是任何大小。第二个参数是您要变成拼图的图像第三个参数是输出镶嵌文件。四是乘数。它采用参数2中的图像，并将高度和宽度乘以此值，这就是您的镶嵌文件的大小。最后一个参数是组成马赛克的X和Y图块的数量。

它使用AForge图像处理库。

来源

2015-11-30 21:08:28 Pete

如何从个人资料照片中制作照片？

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