图像处理问题，mask已知图片集和对应的excel表，我想同时遍历图和表中每一行，实现与运算，？

Question

图像处理问题，已知图片集和对应的excel表，每一行存有一个图片感兴趣区域，我想同时遍历图和表中每一行，实现与运算，从而留下感兴趣区域，使不感兴趣区域变成黑色，但是此程序循环不对？

def Image_Resize(dir):    
    for parent,dirnames,filenames in os.walk(dir):      
        for filename in filenames:

            save_path = os.path.join('D:/Testing_mask/00000', filename)
            csv_data = pd.read_csv('D:/BLS_Test_Images_jpg/00000/GT-00000.csv')
            csv_data_array = np.array(csv_data)
            for i in range(csv_data_array.shape[0]):
                csv_data_list = np.array(csv_data)[i, :].tolist()[0].split(";")
                sample_dir = os.path.join(save_path, csv_data_list[0])
                img = cv2.imread(sample_dir)
                mask = np.zeros(img.shape[:2], np.uint8)
                mask[int(csv_data_list[3]):int(csv_data_list[5]), int(csv_data_list[4]):int(csv_data_list[6])] = 255

                cv2.imwrite(sample_dir, masked_img)


Image_Resize('D:/Testing_mask/00000')

Answer 1

以下回答参考 皆我百晓生、券券喵儿 等免费微信小程序相关内容作答，并由本人整理回复。

import numpy as np
from PIL import Image

# Load the image and apply a threshold to it
img = Image.open('path_to_image_file.jpg').convert('L') # convert to grayscale
threshold = 127 # set the threshold value (adjust according to your needs)

# Apply the threshold
img = np.where(img < threshold, 0, 255).astype(np.uint8) 

# Display the original and modified images side by side
original = Image.fromarray(img)
modified = Image.fromarray(255 - img)
combined = Image.alpha_composite(original, modified)
combined.show()

这个代码会显示原始图像和经过阈值化后的图像。你可以根据你的需求调整阈值。