python-opencv-图像的算数运算

 

图像相加：

import cv2
import numpy as np

image = cv2.imread("3.jpg")
cv2.imshow("3",image)

#图像image各像素加100
M = np.ones(image.shape,dtype="uint8")*100    #与image大小一样的全100矩阵
added = cv2.add(image,M)   #两个图像相加
# 大于255的按255处理

cv2.imshow("Added",added)
cv2.waitKey(0)

效果图：

 

 

 

图像相减：

import cv2
import numpy as np

image = cv2.imread("3.jpg")
cv2.imshow("yuan",image)

#图像image各像素减去50
M = np.ones(image.shape,dtype="uint8")*50    #与image大小一样的全100矩阵
img = cv2.subtract(image,M)   #图像image减去图像M
# 小于0的按0处理

cv2.imshow("hou",img)
cv2.waitKey(0)

效果图：

图像的交集运算--与运算

import numpy as np
import cv2

#画矩形
Rectangle = np.zeros((300,300),dtype="uint8")
cv2.rectangle(Rectangle,(25,25),(275,275),255,-1)
cv2.imshow("Rectangle",Rectangle)

#画圆形
Circle = np.zeros((300,300),dtype="uint8")
cv2.circle(Circle,(150,150),150,255,-1)
cv2.imshow("Circle",Circle)

#图像的交
bitwiseAnd = cv2.bitwise_and(Rectangle,Circle)
cv2.imshow("AND",bitwiseAnd)
cv2.waitKey(0)

cv2.bitwise_and()是对二进制数据进行“与”操作，即对图像（灰度图像或彩色图像均可）每个像素值进行二进制“与”操作，1&1=1，1&0=0，0&1=0，0&0=0

效果图：

 

图像的或运算: 

import numpy as np
import cv2

#画矩形
Rectangle = np.zeros((300,300),dtype="uint8")
cv2.rectangle(Rectangle,(25,25),(275,275),255,-1)
cv2.imshow("Rectangle",Rectangle)

#画圆形
Circle = np.zeros((300,300),dtype="uint8")
cv2.circle(Circle,(150,150),150,255,-1)
cv2.imshow("Circle",Circle)

#图像的交
bitwiseAnd = cv2.bitwise_or(Rectangle,Circle)  #或运算--并集
cv2.imshow("AND",bitwiseAnd)
cv2.waitKey(0)

效果图：

 

 

异或运算： 

import numpy as np
import cv2

#画矩形
Rectangle = np.zeros((300,300),dtype="uint8")
cv2.rectangle(Rectangle,(25,25),(275,275),255,-1)
cv2.imshow("Rectangle",Rectangle)

#画圆形
Circle = np.zeros((300,300),dtype="uint8")
cv2.circle(Circle,(150,150),150,255,-1)
cv2.imshow("Circle",Circle)

#图像的交
bitwiseXor = cv2.bitwise_xor(Rectangle,Circle)  #图像的异或
cv2.imshow("XOR",bitwiseXor)
cv2.waitKey(0)

效果图：

 

 

非运算：

import numpy as np
import cv2

#画圆形
Circle = np.zeros((300,300),dtype="uint8")
cv2.circle(Circle,(150,150),150,255,-1)
cv2.imshow("Circle",Circle)

bitwiseNot = cv2.bitwise_not(Circle)  #非运算
cv2.imshow("NOT",bitwiseNot)
cv2.waitKey(0)