(ง •_•)ง[Python3 OpenCV4]8.图像混合

接口文档

  • cv2.add()
  • cv2.addWeighted()
  • cv2.bitwise_and()
  • cv2.bitwise_not()

图片相加

叠加两张图片,可以使用cv2.add()函数

import cv2
import numpy as np
x = np.uint8([250])
y = np.uint8([10])
print(cv2.add(x, y))  # 250+10 = 260 => 255
print(x + y)  # 250+10 = 260 % 256 = 4

图像混合

img1 = cv2.imread('lena_small.jpg')
img2 = cv2.imread('opencv-logo-white.png')
res = cv2.addWeighted(img1, 0.6, img2, 0.4, 0)

按位操作

掩膜(mask)的概念:掩膜是用一副二值化图片对另外一幅图片进行局部的遮挡,看下图就一目了然了:

掩膜概念
(ง •_•)ง[Python3 OpenCV4]8.图像混合_第1张图片

img1 = cv2.imread('lena.jpg')
img2 = cv2.imread('opencv-logo-white.png')

# 把logo放在左上角,所以我们只关心这一块区域
rows, cols = img2.shape[:2]
roi = img1[:rows, :cols]

# 创建掩膜
img2gray = cv2.cvtColor(img2, cv2.COLOR_BGR2GRAY)
ret, mask = cv2.threshold(img2gray, 10, 255, cv2.THRESH_BINARY)
mask_inv = cv2.bitwise_not(mask)

# 保留除logo外的背景
img1_bg = cv2.bitwise_and(roi, roi, mask=mask_inv)
dst = cv2.add(img1_bg, img2)  # 进行融合
img1[:rows, :cols] = dst  # 融合后放在原图上

你可能感兴趣的:(#,[,python3-opencv4,])