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1.7 openCV-python 图像运算

1.7 openCV-python 图像运算

作者: wangsb_2020 | 来源:发表于2020-02-21 17:17 被阅读0次

    学习图像上的算术运算,加法,减法,位运算等。

    # -*- coding: utf-8 -*-
    import numpy as np
    import cv2
    # 图像加法
    cv2.imread("namei.jpeg")
    x = np.uint8([250])
    y = np.uint8([10])
    print(cv2.add(x, y))
    print(x+y)
    
    # 图像混合
    img1 = cv2.imread("lufei.jpg")
    img2 = cv2.imread("namei.jpeg")
    img3 = img2[0:636,0:500]
    print(img1.size)
    print(img1.shape)
    
    print(img2.size)
    print(img2.shape)
    
    print(img3.shape)
    print(img3.size)
    
    add = cv2.add(img1, img3)
    dst = cv2.addWeighted(img1, 0.3, img3, 0.7, 0)
    cv2.imshow('add', add)
    cv2.imshow("dst", dst)
    cv2.waitKey(0)
    cv2.destroyAllWindows()
    
    image.png

    按位运算

    import cv2
    import numpy as np
    
    img1 = cv2.imread('lufei.jpg')
    img2 = cv2.imread('namei.jpeg')
    # I want to put lufei on top-left corner, So I create a ROI
    rows, cols, channels = img1.shape
    print('rows: %s, cols: %s, channels: %s'%(rows,cols,channels))
    namei = img2[0:rows, 0:cols]
    
    # Now create a mask of logo and create its inverse mask also
    img1gray = cv2.cvtColor(img1, cv2.COLOR_BGR2GRAY)
    ret, mask = cv2.threshold(img1gray, 245, 255, cv2.THRESH_BINARY)
    mask_inv = cv2.bitwise_not(mask)
    
    # Now black-out the area of logo in ROI
    # 取roi 中与mask 中不为零的值对应的像素的值,其他值为0
    # 注意这里必须有mask=mask 或者mask=mask_inv, 其中的mask= 不能忽略
    img2_bg = cv2.bitwise_and(namei, namei, mask=mask)
    img1_fg = cv2.bitwise_and(img1, img1, mask=mask_inv)
    
    # Put logo in ROI and modify the main image
    dst = cv2.add(img2_bg, img1_fg)
    img2[0:rows, 0:cols] = dst
    
    
    cv2.imshow('lufei', img1)
    # cv2.imshow('img1gray', img1gray)
    # cv2.imshow('mask_inv', mask)
    # cv2.imshow('img2_fg', img1_fg)
    # cv2.imshow('namei', namei)
    cv2.imshow('res', img2)
    cv2.waitKey(0)
    cv2.destroyAllWindows()
    
    image.png

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