使用 OpenCV 对图像进行算术运算Set-2（二进制图像的按位运算）

先决条件：图像的算术运算 |第一组
位运算用于图像处理，用于提取图像中的重要部分。在本文中，使用的位运算是：

和
或者
异或
不是

此外，按位运算有助于图像屏蔽。借助这些操作可以启用图像创建。这些操作有助于增强输入图像的属性。
注意：按位运算应应用于相同尺寸的输入图像
输入图像 1：

输入图像 2：

图像上的按位与运算：

输入数组元素的按位连接。

Syntax: cv2.bitwise_and(source1, source2, destination, mask)
Parameters:
source1: First Input Image array(Single-channel, 8-bit or floating-point)
source2: Second Input Image array(Single-channel, 8-bit or floating-point)
dest: Output array (Similar to the dimensions and type of Input image array)
mask: Operation mask, Input / output 8-bit single-channel mask

编程需要懂一点英语

Python3

# Python program to illustrate
# arithmetic operation of
# bitwise AND of two images
    
# organizing imports
import cv2
import numpy as np
    
# path to input images are specified and  
# images are loaded with imread command 
img1 = cv2.imread('input1.png') 
img2 = cv2.imread('input2.png')
 
# cv2.bitwise_and is applied over the
# image inputs with applied parameters
dest_and = cv2.bitwise_and(img2, img1, mask = None)
 
# the window showing output image
# with the Bitwise AND operation
# on the input images
cv2.imshow('Bitwise And', dest_and)
  
# De-allocate any associated memory usage 
if cv2.waitKey(0) & 0xff == 27:
    cv2.destroyAllWindows()

Python3

# Python program to illustrate
# arithmetic operation of
# bitwise OR of two images
    
# organizing imports
import cv2
import numpy as np
    
# path to input images are specified and  
# images are loaded with imread command 
img1 = cv2.imread('input1.png') 
img2 = cv2.imread('input2.png')
 
# cv2.bitwise_or is applied over the
# image inputs with applied parameters
dest_or = cv2.bitwise_or(img2, img1, mask = None)
 
# the window showing output image
# with the Bitwise OR operation
# on the input images
cv2.imshow('Bitwise OR', dest_or)
  
# De-allocate any associated memory usage 
if cv2.waitKey(0) & 0xff == 27:
    cv2.destroyAllWindows()

Python3

# Python program to illustrate
# arithmetic operation of
# bitwise XOR of two images
    
# organizing imports
import cv2
import numpy as np
    
# path to input images are specified and  
# images are loaded with imread command 
img1 = cv2.imread('input1.png') 
img2 = cv2.imread('input2.png')
 
# cv2.bitwise_xor is applied over the
# image inputs with applied parameters
dest_xor = cv2.bitwise_xor(img1, img2, mask = None)
 
# the window showing output image
# with the Bitwise XOR operation
# on the input images
cv2.imshow('Bitwise XOR', dest_xor)
  
# De-allocate any associated memory usage 
if cv2.waitKey(0) & 0xff == 27:
    cv2.destroyAllWindows()

Python3

# Python program to illustrate
# arithmetic operation of
# bitwise NOT on input image
    
# organizing imports
import cv2
import numpy as np
    
# path to input images are specified and  
# images are loaded with imread command 
img1 = cv2.imread('input1.png') 
img2 = cv2.imread('input2.png')
 
# cv2.bitwise_not is applied over the
# image input with applied parameters
dest_not1 = cv2.bitwise_not(img1, mask = None)
dest_not2 = cv2.bitwise_not(img2, mask = None)
 
# the windows showing output image
# with the Bitwise NOT operation
# on the 1st and 2nd input image
cv2.imshow('Bitwise NOT on image 1', dest_not1)
cv2.imshow('Bitwise NOT on image 2', dest_not2)
  
# De-allocate any associated memory usage 
if cv2.waitKey(0) & 0xff == 27:
    cv2.destroyAllWindows()

输出：

图像上的按位或运算：

输入数组元素的按位分离。

Syntax: cv2.bitwise_or(source1, source2, destination, mask)
Parameters:
source1: First Input Image array(Single-channel, 8-bit or floating-point)
source2: Second Input Image array(Single-channel, 8-bit or floating-point)
dest: Output array (Similar to the dimensions and type of Input image array)
mask: Operation mask, Input / output 8-bit single-channel mask

编程需要懂一点英语

Python3

# Python program to illustrate
# arithmetic operation of
# bitwise OR of two images
    
# organizing imports
import cv2
import numpy as np
    
# path to input images are specified and  
# images are loaded with imread command 
img1 = cv2.imread('input1.png') 
img2 = cv2.imread('input2.png')
 
# cv2.bitwise_or is applied over the
# image inputs with applied parameters
dest_or = cv2.bitwise_or(img2, img1, mask = None)
 
# the window showing output image
# with the Bitwise OR operation
# on the input images
cv2.imshow('Bitwise OR', dest_or)
  
# De-allocate any associated memory usage 
if cv2.waitKey(0) & 0xff == 27:
    cv2.destroyAllWindows()

输出：

图像的按位异或运算：

对输入数组元素进行按位异或运算。

Syntax: cv2.bitwise_xor(source1, source2, destination, mask)
Parameters:
source1: First Input Image array(Single-channel, 8-bit or floating-point)
source2: Second Input Image array(Single-channel, 8-bit or floating-point)
dest: Output array (Similar to the dimensions and type of Input image array)
mask: Operation mask, Input / output 8-bit single-channel mask

编程需要懂一点英语

Python3

# Python program to illustrate
# arithmetic operation of
# bitwise XOR of two images
    
# organizing imports
import cv2
import numpy as np
    
# path to input images are specified and  
# images are loaded with imread command 
img1 = cv2.imread('input1.png') 
img2 = cv2.imread('input2.png')
 
# cv2.bitwise_xor is applied over the
# image inputs with applied parameters
dest_xor = cv2.bitwise_xor(img1, img2, mask = None)
 
# the window showing output image
# with the Bitwise XOR operation
# on the input images
cv2.imshow('Bitwise XOR', dest_xor)
  
# De-allocate any associated memory usage 
if cv2.waitKey(0) & 0xff == 27:
    cv2.destroyAllWindows()

输出：

图像上的按位非运算：

输入数组元素的反转。

Syntax: cv2.bitwise_not(source, destination, mask)
Parameters:
source: Input Image array(Single-channel, 8-bit or floating-point)
dest: Output array (Similar to the dimensions and type of Input image array)
mask: Operation mask, Input / output 8-bit single-channel mask

编程需要懂一点英语

Python3

# Python program to illustrate
# arithmetic operation of
# bitwise NOT on input image
    
# organizing imports
import cv2
import numpy as np
    
# path to input images are specified and  
# images are loaded with imread command 
img1 = cv2.imread('input1.png') 
img2 = cv2.imread('input2.png')
 
# cv2.bitwise_not is applied over the
# image input with applied parameters
dest_not1 = cv2.bitwise_not(img1, mask = None)
dest_not2 = cv2.bitwise_not(img2, mask = None)
 
# the windows showing output image
# with the Bitwise NOT operation
# on the 1st and 2nd input image
cv2.imshow('Bitwise NOT on image 1', dest_not1)
cv2.imshow('Bitwise NOT on image 2', dest_not2)
  
# De-allocate any associated memory usage 
if cv2.waitKey(0) & 0xff == 27:
    cv2.destroyAllWindows()

输出：
按位不在图 1 上

按位不在图 2 上