通过掩膜叠加图片

python opencv 图像叠加,python opencv图像叠加/图像融合/mask掩模_weixin_39862794的博客-CSDN博客

      import cv2
      img1 = cv2.imread('pic.png')
      img2 = cv2.imread('small.jpg')
      img2 = cv2.resize(img2,(100,100))
      #首先获取原始图像roi
      rows,cols,channels = img2.shape
      roi = img1[0:rows, 0:cols ]
      #原始图像转化为灰度值
      # Now create a mask of logo and create its inverse mask also
      img2gray = cv2.cvtColor(img2,cv2.COLOR_BGR2GRAY)
      cv2.imshow('img2gray',img2gray)
      cv2.waitKey(0)
      '''
      将一个灰色的图片，变成要么是白色要么就是黑色。(大于规定thresh值就是设置的最大值(常为255，也就是白色))
      '''
      #将灰度值二值化，获得ROI区域掩模
      ret, mask = cv2.threshold(img2gray, 200, 255, cv2.THRESH_BINARY)
      cv2.imshow('mask',mask)
      cv2.waitKey(0)
      #ROI掩模区域反向掩模
      mask_inv = cv2.bitwise_not(mask)
      cv2.imshow('mask_inv',mask_inv)
      cv2.waitKey(0)
      #掩模显示背景
      # Now black-out the area of logo in ROI
      img1_bg = cv2.bitwise_and(roi,roi,mask = mask)
      cv2.imshow('img1_bg',img1_bg)
      cv2.waitKey(0)
      #掩模显示前景
      # Take only region of logo from logo image.
      img2_fg = cv2.bitwise_and(img2,img2,mask = mask_inv)
      cv2.imshow('img2_fg',img2_fg)
      cv2.waitKey(0)
      #前背景图像叠加
      # Put logo in ROI and modify the main image
      dst = cv2.add(img1_bg,img2_fg)
      img1[0:rows, 0:cols ] = dst
      cv2.imshow('res',img1)
      cv2.waitKey(0)
      cv2.destroyAllWindows()
      img1[0:rows, 0:cols ] = dst
      cv2.imshow('res',img1)
      cv2.waitKey(0)
      cv2.destroyAllWindows()
  
 

文章来源: blog.csdn.net，作者：AI视觉网奇，版权归原作者所有，如需转载，请联系作者。

原文链接：blog.csdn.net/jacke121/article/details/124464506