Python-OpenCV 图像处理（四）：图像的像素运算（加、减、乘、除、与、或、非）

import cv2
import numpy as np

__author__ = "zxsuperstar"
__email__ = "[email protected]"


"""
图像的像素运算
cv2.add(src1, src2, dst=None, mask=None, dtype=None)        加运算函数
cv2.subtract(src1, src2, dst=None, mask=None, dtype=None)   减运算函数
	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

cv2.bitwise_and(src1, src2, dst=None, mask=None) 取交集
cv2.bitwise_or(src1, src2, dst=None, mask=None)  取并集
	src1：图像矩阵1
	src1：图像矩阵2
	dst： 默认选项
	mask：默认选项

cv2.bitwise_not(src1, src2, dst=None, mask=None) 取反
	src1：图像矩阵1
	src1：图像矩阵2
	dst： 默认选项
	mask：默认选项
"""

def add_demo(m1,m2):   #  加
    dst = cv2.add(m1,m2)
    cv2.imshow("add_demo",dst)


def subtract_demo(m1,m2):  #减
    dst = cv2.subtract(m1,m2)
    cv2.imshow("subtract_demo",dst)


def divide_demo(m1,m2):   #除
    dst = cv2.divide(m1,m2)
    cv2.imshow("divide_demo",dst)


def multiply_demo(m1,m2):   #除
    dst = cv2.multiply(m1,m2)
    cv2.imshow("multiply_demo",dst)


def logic_demo(m1,m2): # 与运算
    dst = cv2.bitwise_and(m1,m2) # 与运算
    dst = cv2.bitwise_or(m1, m2)  # 或运算
    dst = cv2.bitwise_not(m1)  # 非运算
    cv2.imshow("logic", dst)


def contract_brightness_demo(image,c,b):  # 亮度对比
    h, w,ch = image.shape
    blank = np.zeros([h,w,ch],image.dtype)
    dst = cv2.addWeighted(image,c,blank,1-c,b)
    cv2.imshow("con_b",dst)


def others(m1,m2):
    m1 = cv2.mean(m1) #均值
    m2 = cv2.mean(m2)
    m1,dev1 = cv2.meanStdDev(m1) #方差
    m2, dev1 = cv2.meanStdDev(m2)
    print(m1,m2)


if __name__ == "__main__":
    src1 = cv2.imread("t1.jpg") #blue green red
    src2 = cv2.imread("t2.jpg")
    cv2.namedWindow("image1", cv2.WINDOW_AUTOSIZE)
    cv2.imshow("image1",src1)
    cv2.imshow("image2",src2)
    contract_brightness_demo(src2,1.2,10)

    # add_demo(src1,src2)
    # subtract_demo(src1,src2)
    # divide_demo(src1,src2)
    # multiply_demo(src1,src2)
    # others(src1,src2)
    # logic_demo(src1,src2)
    cv2.waitKey(0)
    cv2.destroyAllWindows()