我的目标是使用Python（OpenCV，numpy，Pillow）将正常图像转换为X射线图像，我已经完成了其中的一部分，我已经修改了图像，但我不能使其成为X射线。
我已经尝试了多种方法来完成这个特定的任务，但它并没有按照我想要的方式My result进行，这是我希望看到的Something like this
这是我目前为止的代码。

import cv2
import numpy as np
from PIL import Image
import os

def apply_xray_effect(input_image_path, output_image_path):
    # Read the input image using Pillow (PIL)
    pil_image = Image.open(input_image_path)

    # Convert PIL image to NumPy array
    img_np = np.array(pil_image)

    # Apply a custom transformation to simulate X-ray effect
    # You can customize this transformation to achieve the desired effect
    xray_effect = img_np.copy()

    # Apply brightness and contrast adjustments
    alpha = 0.3  # Adjust contrast (1.0 is the original contrast)
    beta = -140  # Adjust brightness (0 is the original brightness)
    xray_effect = cv2.convertScaleAbs(xray_effect, alpha=alpha, beta=beta)

    # Apply a pseudo-color map to give it a blueish tone
    colormap = cv2.applyColorMap(xray_effect, cv2.COLORMAP_BONE)

    x = 200  # X-coordinate of the top-left corner of the ROI
    y = 250  # Y-coordinate of the top-left corner of the ROI
    width = 300  # Width of the ROI
    height = 250  # Height of the ROI

    # Convert PIL image to NumPy array
    pil_image_np = np.array(pil_image)

    # Create a mask for the ROI
    mask = np.zeros_like(pil_image_np)
    cv2.rectangle(mask, (x, y), (x + width, y + height), (255, 255, 255), thickness=-1)  # Fill the ROI with white

    # Apply the mask to the image to extract the ROI
    roi = cv2.bitwise_and(pil_image_np, mask)

    # Change the color of the ROI (e.g., from blue to green)
    roi[:, :, 0] = 0  # Set the blue channel to 0 (remove blue)
    roi[:, :, 1] = 0  # Set the green channel to 255 (max green)
    roi[:, :, 2] = 0  # Set the red channel to 0 (remove red)

    # Save the resulting X-ray-like image
    cv2.imwrite(output_image_path, colormap)

if __name__ == "__main__":
    input_image_path = r"C:\Users\Ayad\OneDrive\Desktop\girl.jpeg"  # Replace with your input image file path
    output_directory = r"C:\Users\Ayad\OneDrive\Desktop"  # Output directory path

    output_xray_image_path = os.path.join(output_directory, "changedImg_xray.png")

    apply_xray_effect(input_image_path, output_xray_image_path)

    # Display the images
    xray_image = cv2.imread(output_xray_image_path)

    cv2.imshow("X-ray Image", xray_image)

    cv2.waitKey(0)  # Wait until a key is pressed to close the windows
    cv2.destroyAllWindows()