如何在图像中替换像素颜色与其他颜色？ [英] How To Replace Pixel color with other color in Image?

问题描述

我有一个形象，我可以阅读所有它的使用Martix像素颜色...我如何更改为RGB任何像素。如果我想它（黑色，红色或白色）

我的代码来读取矩阵的形象是：

 字符串sourceimg = @ D：\ProductionTools\Taskes\Image Processing\Test\001.jpg 
 // ... 
位图imageoriginal =新位图（sourceimg）; 
 INT高度= imageoriginal.Height; 
 INT宽度= imageoriginal.Width; 
色彩[] [] =嘉洛斯新的色彩[宽度] []; 
的for（int i = 0; I<宽度;我++）{
嘉洛斯[i] =新的色彩[身高]; 
为（INT J = 0; J<高度; J ++）{
嘉洛斯[I] [J] =新的色彩（）; 
嘉洛斯[I] [J] = imageoriginal.GetPixel（I，J）; 
} 
} 
  

解决方案

由于在您的评论中指出，该问题是关于颜色的距离，这是不是一件小事。这也涉及您使用的色彩空间，所以在这里我会告诉你在RGB，HSV，HLS，和CIELAB例子。此外，为了计算距离，你需要一个公式。为简单起见，让我们粘欧氏距离，如

然后再平凡回答你的问题，你计算的三个目标从目前的颜色①的距离 PI 你有（黑，红，白）。最小的距离，表示你替换的颜色。在平局的情况下，我把那个给了最小距离最早的颜色。

现在，使用的色彩也是在这个任务非常重要，因为它建立了欧几里德的意义距离。下面是一个示例图片：

在RGB转换：

转换在HLS（即，RGB颜色被转换为HLS和计算的距离）：

HSV：

CIELAB：

I have an Image and I can Read all it's Pixels colors using Martix ... How can I change The RGB for any Pixel If I want to convert it to the nearest color from (Black , Red or white)

My Code to Read the Image in Matrix is :

string sourceimg = @"D:\ProductionTools\Taskes\Image Processing\Test\001.jpg";
//...
Bitmap imageoriginal = new Bitmap(sourceimg);
int height = imageoriginal.Height;
int width = imageoriginal.Width;
Color[][] colormatrix = new Color[width][];
for (int i = 0; i < width; i++) {
    colormatrix[i] = new Color[height];
    for (int j = 0; j < height; j++) {
        colormatrix[i][j] = new Color();
        colormatrix[i][j] = imageoriginal.GetPixel(i, j);
    }
}  

解决方案

As pointed out in your comments, the question is about color distance, which is not a trivial matter. It also relates to which colorspace you use, so here I will show you examples in RGB, HSV, HLS, and CIELAB. Also, to calculate distance you need a formula. For simplicity, let's sticky to the euclidean distance, as in

Then to trivially answer your question, you calculate the distance from the current color q to the three targets pi you have (black, red, and white). The smallest distance indicates the color you replace with. In case of tie, I keep the earliest color that gave the minimum distance.

Now, the colorspace is also very important in this task since it establishes the meaning for the euclidean distance. Here is a sample image:

Converted in RGB:

Converted in HLS (i.e., the RGB color is converted to HLS and the distance is calculated):

HSV:

CIELAB:

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