如何将Label矩阵转换为颜色矩阵以进行图像分割？ [英] How to convert a Label matrix to colour matrix for image segmentation?

问题描述

例如，我的标签矩阵为256 * 256。班级是0-11，所以12个班级我想将标签矩阵转换为颜色矩阵。我尝试用这样的代码完成

I have a label matrix of 256*256 for example. And the classes are 0-11 so 12 classes. I want to convert the label matrix to colour matrix. I tried do it in a code like this

`for i in range(256):
    for j in range(256):
        if x[i][j] == 11:
            dummy[i][j] = [255,255,255]
        if x[i][j] == 1:
            dummy[i][j] = [144,0,0]
        if x[i][j] == 2:
            dummy[i][j] = [0,255,0]    
        if x[i][j] == 3:
            dummy[i][j] = [0,0,255]
        if x[i][j] == 4:
            dummy[i][j] = [144,255,0]
        if x[i][j] == 5:
            dummy[i][j] = [144,0,255]            
        if x[i][j] == 6:
            dummy[i][j] = [0,255,255]
        if x[i][j] == 7:
            dummy[i][j] = [122,0,0]
        if x[i][j] == 8:
            dummy[i][j] = [0,122,0]
        if x[i][j] == 9:
            dummy[i][j] = [0,0,122]
        if x[i][j] == 10:
            dummy[i][j] = [122,0,122]
        if x[i][j] == 11:
            dummy[i][j] = [122,122,0]
            `

效率非常低。 PS：x的形状为[256 256]，虚拟值为[256 256 3]。有什么更好的方法吗？

It is highly inefficient. PS: the shape of x is [256 256] and dummy is [256 256 3]. Is there any better way to do it ?

推荐答案

您正在寻找索引的RGB图像-具有固定位置的RGB图像颜色的调色板，每个像素都指向调色板的一种颜色。有关更多信息，请参见此页面。

You are looking into indexed RGB images - an RGB image where you have a fixed "pallet" of colors, each pixel indexes to one of the colors of the pallet. See this page for more information.

from PIL import Image

img = Image.fromarray(x, mode="P")
img.putpalette([
    255, 255, 255,   # index 0
    144, 0, 0, # index 1 
    0, 255, 0, # index 2 
    0, 0, 255, # index 3 
    # ... and so on, you can take it from here.
])
img.show()

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