用原始图像opencv Python替换掩码

Question

I am trying to replace objects which I found using a mask with the original images pixels. I have a mask that shows black where the object is not detected and white if detected. I am then using the image in a where statement

image[np.where((image2 == [255,255,255].any(axis = 2)) 

I am stuck here and I have no idea how to change found white values to what the original image is (to use alongside other masks). I have tried image.shape and this did not work.

Thanks.

Answer 1

Make a copy of the mask and then draw the original image over the white pixels of the mask from the white pixel coordinates. You can also check mask == 255 to compare element-wise. You don't need np.where because you can index arrays via the boolean mask created by mask == 255 .

out = mask.copy()
out[mask == 255] = original_image[mask == 255]

Answer 2

You can use bitwise operations. Try this:

replaced_image = cv2.bitwise_and(original_image,original_image,mask = your_mask)

Visit https://docs.opencv.org/3.3.0/d0/d86/tutorial_py_image_arithmetics.html to learn more about bitwise operations

Answer 3

import os
import cv2
from netpbmfile import imread
 
img_dir = '.'
mask_dir = '.'
new_bg = 'image.png'

def get_foreground(fg_image_name, mask_name, bg_image_name):
    fg_image = cv2.imread(fg_image_name)
    mask = imread(mask_name)
    mask_inverse = (1-mask)
    bg_image = cv2.imread(bg_image_name)
    bg_image = cv2.resize(bg_image, (fg_image.shape[1], fg_image.shape[0]))
    foregound = cv2.bitwise_and(fg_image, fg_image, mask=mask)
    background = cv2.bitwise_and(bg_image, bg_image, mask=mask_inverse)
    composite = foregound + background
    
    return composite


image_fg = get_foreground(os.path.join(img_dir, "NP1_0.jpg"), os.path.join(mask_dir, "NP1_0_mask.pbm"), new_bg)
cv2.imwrite("foreground.jpg", image_fg)