openCV—Python(6)—— 图像算数与逻辑运算

一、函数简介

1、add—图像矩阵相加

函数原型：add(src1, src2, dst=None, mask=None, dtype=None)

src1：图像矩阵1

src1：图像矩阵2

dst：默认选项

mask：默认选项

dtype：默认选项

2、subtract—图像矩阵相加

函数原型：subtract(src1, src2, dst=None, mask=None, dtype=None)

src1：图像矩阵1

src1：图像矩阵2

dst：默认选项

mask：默认选项

dtype：默认选项

3、bitwise_and—图像与运算

函数原型：bitwise_and(src1, src2, dst=None, mask=None)

src1：图像矩阵1

src1：图像矩阵2

dst：默认选项

mask：默认选项

4、bitwise_or—图像或运算

函数原型：bitwise_and(src1, src2, dst=None, mask=None)

src1：图像矩阵1

src1：图像矩阵2

dst：默认选项

mask：默认选项

5、bitwise_xor—图像异或运算

函数原型：bitwise_and(src1, src2, dst=None, mask=None)

src1：图像矩阵1

src1：图像矩阵2

dst：默认选项

mask：默认选项

6、bitwise_not—图像非运算

函数原型：bitwise_and(src1, src2, dst=None, mask=None)

src1：图像矩阵1

src1：图像矩阵2

dst：默认选项

mask：默认选项

二、实例演练

1、原图像每个像素都加100，大于255的按255处理

#encoding:utf-8

#
#图像运算
#

import cv2
import numpy as np

image = cv2.imread("H:\\img\\lena.jpg")
cv2.imshow("Original",image)
cv2.waitKey(0)
#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)#将图像image与M相加
cv2.imshow("Added",added)
cv2.waitKey(0)

2、原图像每个像素都减去50，小于0的按0处理

#encoding:utf-8

#
#图像运算
#

import cv2
import numpy as np

image = cv2.imread("H:\\img\\lena.jpg")
cv2.imshow("Original",image)
cv2.waitKey(0)
#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50矩阵
subtracted = cv2.subtract(image,M)#将图像image与M相减
cv2.imshow("Subtracted", subtracted)
cv2.waitKey(0)

3、矩形与圆形的交运算

#encoding:utf-8

#
#图像的逻辑运算
#

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)
cv2.waitKey(0)

#画圆形
Circle = np.zeros((300,300),dtype="uint8")
cv2.circle(Circle,(150,150),150,255,-1)
cv2.imshow("Circle",![这里写图片描述](http://img.blog.csdn.net/20150729200613202)Circle)
cv2.waitKey(0)

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

4、矩形与圆形的或运算

#encoding:utf-8

#
#图像的逻辑运算
#

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)
cv2.waitKey(0)

#画圆形
Circle = np.zeros((300,300),dtype="uint8")
cv2.circle(Circle,(150,150),150,255,-1)
cv2.imshow("Circle",Circle)
cv2.waitKey(0)

#图像的或
bitwiseOr = cv2.bitwise_or(Rectangle,Circle)
cv2.imshow("OR",bitwiseOr)
cv2.waitKey(0)

5、矩形与圆形的异或运算

#encoding:utf-8

#
#图像的逻辑运算
#

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)
cv2.waitKey(0)

#画圆形
Circle = np.zeros((300,300),dtype="uint8")
cv2.circle(Circle,(150,150),150,255,-1)
cv2.imshow("Circle",Circle)
cv2.waitKey(0)

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

6、圆形的非运算

#encoding:utf-8

#
#图像的逻辑运算
#

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)
cv2.waitKey(0)

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