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使用 Python-OpenCV 拆分和合并通道

原文:https://www.geeksforgeeks.org/用 python 拆分和合并频道-opencv/

在本文中，我们将学习如何使用 Python 中的 OpenCV 将多通道图像拆分成单独的通道，并将这些单独的通道组合成多通道图像。

为此，我们分别使用 cv2.split()和 cv2.merge() 函数。

使用的图像:

分裂通道

cv2.split()用于将彩色/多通道图像分割成独立的单通道图像。就性能(时间)而言，cv2.split()是一个昂贵的操作。阵列输出向量的顺序取决于输入图像通道的顺序。

语法: cv2.split(m[，mv])

参数:

  • m: 输入多通道阵列
  • mv: 数组的输出向量

示例:

蟒蛇 3

# Python program to explain splitting of channels

# Importing cv2
import cv2 

# Reading the image using imread() function
image = cv2.imread('img.jpg')

# Displaying the original BGR image
cv2.imshow('Original_Image', image)

# Using cv2.split() to split channels of coloured image 
b,g,r = cv2.split(image)

# Displaying Blue channel image
# Blue colour is highlighted the most
cv2.imshow("Model Blue Image", b)

# Displaying Green channel image
# Green colour is highlighted the most
cv2.imshow("Model Green Image", g)

# Displaying Red channel image
# Red colour is highlighted the most
cv2.imshow("Model Red Image", r)

# Waits for user to press any key
cv2.waitKey(0)

输出:

合并频道

cv2.merge() 用于将多个单通道图像合并成一个彩色/多通道图像。

语法: cv2.merge(mv[，dst])

参数:

  • mv: 待合并矩阵的输入向量。所有矩阵必须具有相同的大小。
  • dst: 输出 mv[0]大小的多通道阵列。通道数将等于矩阵阵列中通道的总数。

示例:

蟒蛇 3

# Python program to explain Merging of Channels

# Importing cv2
import cv2

# Reading the BGR image using imread() function
image = cv2.imread("img.jpg")

# Splitting the channels first to generate different 
# single

# channels for merging as we don't have separate
# channel images
b, g, r = cv2.split(image)

# Displaying Blue channel image
cv2.imshow("Model Blue Image", b)

# Displaying Green channel image
cv2.imshow("Model Green Image", g)

# Displaying Red channel image
cv2.imshow("Model Red Image", r)

# Using cv2.merge() to merge Red, Green, Blue Channels

# into a coloured/multi-channeled image
image_merge = cv2.merge([r, g, b])

# Displaying Merged RGB image
cv2.imshow("RGB_Image", image_merge)

# Waits for user to press any key
cv2.waitKey(0)

输出:

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