# Import the necessary packages
import cv2
import numpy as np

def back_rm(filename):
    # Load the image
    img = cv2.imread(filename)

    # Convert the image to grayscale
    gr = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)

    # Make a copy of the grayscale image
    bg = gr.copy()

    # Apply morphological transformations
    for i in range(5):
        kernel2 = cv2.getStructuringElement(cv2.MORPH_ELLIPSE,
                                            (2 * i + 1, 2 * i + 1))
        bg = cv2.morphologyEx(bg, cv2.MORPH_CLOSE, kernel2)
        bg = cv2.morphologyEx(bg, cv2.MORPH_OPEN, kernel2)

    # Subtract the grayscale image from its processed copy
    dif = cv2.subtract(bg, gr)

    # Apply thresholding
    bw = cv2.threshold(dif, 0, 255, cv2.THRESH_BINARY_INV | cv2.THRESH_OTSU)[1]
    dark = cv2.threshold(bg, 0, 255, cv2.THRESH_BINARY_INV | cv2.THRESH_OTSU)[1]

    # Extract pixels in the dark region
    darkpix = gr[np.where(dark > 0)]

    # Threshold the dark region to get the darker pixels inside it
    darkpix = cv2.threshold(darkpix, 0, 255, cv2.THRESH_BINARY | cv2.THRESH_OTSU)[1]

    # Paste the extracted darker pixels in the watermark region
    bw[np.where(dark > 0)] = darkpix.T
    
    #Converting BGR  to RGB
    rgb_image = cv2.cvtColor(bw, cv2.COLOR_BGR2RGB)

    cv2.imwrite('rgb_image.jpg', rgb_image)

back_rm('example2.jpg')

这段代码基本上是什么，它做的是从图像中删除水印.但我希望我的最终输出图像在RGB而不是黑色.例如，应保存最终图像'rgb_image. jpg'在RGB后，从图像中删除水印.但根据编写的代码，它仍然保存在黑色和白色的图像，即使我已经将其转换为RGB. an somon帮助？
enter image description here
enter image description here