如何在OpenCV中将某个RGB值的所有像素替换为另一个RGB值

我需要能够用 OpenCV 中的另一种颜色替换具有特定 RGB 值的所有像素。

我尝试了一些解决方案，但没有一个对我有用。

实现这一目标的最佳方法是什么？

太长了；使用 Numpy 将所有绿色像素设为白色：

import numpy as np

pixels[np.all(pixels == (0, 255, 0), axis=-1)] = (255,255,255)

我在这里举了一些改变颜色的其他方法的例子。首先，我将使用此图像介绍精确、具体的 RGB 值，就像您在问题中提出的那样。它的左侧有三个大块，分别是正红色、正绿色和正蓝色，右侧是这些颜色之间的三个渐变过渡：

这又是上面的最初答案：

#!/usr/bin/env python3

import cv2
import numpy as np

# Load image
im = cv2.imread('image.png')

# Make all perfectly green pixels white
im[np.all(im == (0, 255, 0), axis=-1)] = (255,255,255)

# Save result
cv2.imwrite('result1.png',im)

这次我定义了颜色名称以提高可读性和可维护性。最后一行是重点：

# Define some colours for readability - these are in OpenCV **BGR** order - reverse them for PIL
red   = [0,0,255]
green = [0,255,0]
blue  = [255,0,0]
white = [255,255,255]
black = [0,0,0]

# Make all perfectly green pixels white
im[np.all(im == green, axis=-1)] = white

相同的结果。

这次我制作了一个可重复使用的红色像素蒙版，可以在后续操作中使用。作业的最后一行im[Rmask] = black现在特别容易阅读：

# Define some colours for readability - these are in OpenCV **BGR** order - reverse them for PIL
red   = [0,0,255]
green = [0,255,0]
blue  = [255,0,0]
white = [255,255,255]
black = [0,0,0]

# Make mask of all perfectly red pixels
Rmask = np.all(im == red, axis=-1)

# Make all red pixels black
im[Rmask] = black

这次我combine红色和蓝色像素的蒙版，这样您就可以看到蒙版的威力。最后一行是重点：

# Define some colours for readability - these are in OpenCV **BGR** order - reverse them for PIL
red   = [0,0,255]
green = [0,255,0]
blue  = [255,0,0]
white = [255,255,255]
black = [0,0,0]

# Make mask of all perfectly red pixels and all perfectly blue pixels
Rmask = np.all(im == red,  axis=-1)
Bmask = np.all(im == blue, axis=-1)

# Make all red or blue pixels black
im[Rmask | Bmask] = black

这次我将所有非红色像素变成黑色 - 希望您现在能够欣赏蒙版的力量。最后一行是重点：

# Define some colours for readability - these are in OpenCV **BGR** order - reverse them for PIL
red   = [0,0,255]
green = [0,255,0]
blue  = [255,0,0]
white = [255,255,255]
black = [0,0,0]

# Make mask of all perfectly red pixels
Rmask = np.all(im == red,  axis=-1)

# Make all non-red pixels black
im[~Rmask] = black

到目前为止，我们只将一些选择的像素转换为单一的新颜色。如果我们想在一次传递中将某些像素设置为一种颜色，而将所有其他像素设置为不同颜色，该怎么办？最后一行是重点：

# Define some colours for readability - these are in OpenCV **BGR** order - reverse them for PIL
red   = [0,0,255]
green = [0,255,0]
blue  = [255,0,0]
white = [255,255,255]
black = [0,0,0]

# Make mask of all perfectly red pixels
Rmask = np.all(im == red,  axis=-1)

# Make all red pixels white AND at same time everything else black
im = np.where(np.all(im == red, axis=-1, keepdims=True), white, black)

如果你想影响整体range颜色，而不是特定的 RGB 值，看看here https://stackoverflow.com/a/50215020/2836621 and here https://stackoverflow.com/a/52183666/2836621.

Keywords：图像处理，Python，prime，改变颜色，改变颜色，prime。