opencv 图像混合

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opencv 图像混合


图片间的数学运算，如相加、按位运算等
OpenCV函数：cv2.add(), cv2.addWeighted(), cv2.bitwise_and()



图片相加(简单相加，超出就用最大值)
add(src1, src2, dst=None, mask=None, dtype=None)



图像混合(会改变图片的透明度)
addWeighted(src1, alpha, src2, beta, gamma, dst=None, dtype=None)
res = cv2.addWeighted(img, 0.6, img2, 0.4, 0)

dst = α*img1 + β*img2 + γ

alpha:α
beta:β
gamma:γ
α和β都等于1时，就相当于图片相加


按位与
bitwise_and(src1, src2, dst=None, mask=None)

按位或
bitwise_or(src1, src2, dst=None, mask=None)

按位非
bitwise_not(src, dst=None, mask=None)


按位异或
bitwise_xor(src1, src2, dst=None, mask=None)


按位异或加掩膜(掩膜就是得到的结果与掩膜进行位与)
imggray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
ret, mask = cv2.threshold(imggray, 127, 255, cv2.THRESH_BINARY)
res = cv2.bitwise_xor(img,img2,mask=mask)
res2 = cv2.bitwise_xor(img, img2)
mask_inv = cv2.bitwise_not(mask)

# -*-encoding:utf-8-*-
import pytesseract
from PIL import Image
from PIL import ImageFilter
from PIL import ImageFont
from PIL import ImageDraw
import numpy as np
from PIL import Image

import cv2


def main():
    # 颜色空间转换
    img = cv2.imread("learn.jpg")
    img2 = cv2.imread("learn2.jpg")

    # =================================图片相加(简单相加，超出就用最大值)
    res = cv2.add(img,img2)

    # =================================图像混合(会改变图片的透明度)
    # addWeighted(src1, alpha, src2, beta, gamma, dst=None, dtype=None)
    # dst = α * img1 + β * img2 + γ
    # alpha: α
    # beta: β
    # gamma: γ
    # α和β都等于1时，就相当于图片相加
    res = cv2.addWeighted(img, 0.6, img2, 0.4, 0)

    # =================================按位与
    # bitwise_and(src1, src2, dst=None, mask=None)
    res = cv2.bitwise_and(img,img2)

    # =================================按位或
    # bitwise_or(src1, src2, dst=None, mask=None)
    res = cv2.bitwise_or(img, img2)

    # =================================按位非
    # bitwise_not(src, dst=None, mask=None)
    res = cv2.bitwise_not(img)

    # =================================按位异或
    # bitwise_xor(src1, src2, dst=None, mask=None)
    res = cv2.bitwise_xor(img,img2)

    # =================================按位异或加掩膜(掩膜就是得到的结果与掩膜进行位与)
    imggray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
    ret, mask = cv2.threshold(imggray, 127, 255, cv2.THRESH_BINARY)
    res = cv2.bitwise_xor(img,img2,mask=mask)
    res2 = cv2.bitwise_xor(img, img2)
    mask_inv = cv2.bitwise_not(mask)

    cv2.imshow('imggray', imggray)
    cv2.imshow('mask', mask)
    cv2.imshow('res', res)
    cv2.imshow('res2', res2)
    cv2.imshow('mask_inv', mask_inv)
    cv2.waitKey(0)



if __name__ == '__main__':
    main()