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