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:
Python 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:
Python 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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