Stirling-PDF/scripts/detect-blank-pages.py
Anthony Stirling 815a823104 debugs
2023-05-12 20:55:18 +01:00

41 lines
1.7 KiB
Python

import cv2
import numpy as np
import sys
import argparse
def is_blank_image(image_path, threshold=10, white_percent=99, white_value=255, blur_size=5):
image = cv2.imread(image_path, cv2.IMREAD_GRAYSCALE)
if image is None:
print(f"Error: Unable to read the image file: {image_path}")
return False
# Apply Gaussian blur to reduce noise
blurred_image = cv2.GaussianBlur(image, (blur_size, blur_size), 0)
_, thresholded_image = cv2.threshold(blurred_image, white_value - threshold, white_value, cv2.THRESH_BINARY)
# Calculate the percentage of white pixels in the thresholded image
white_pixels = np.sum(thresholded_image == white_value)
total_pixels = thresholded_image.size
white_pixel_percentage = (white_pixels / total_pixels) * 100
print(f"Page has white pixel percent of {white_pixel_percentage}")
return white_pixel_percentage > white_percent
if __name__ == "__main__":
parser = argparse.ArgumentParser(description='Detect if an image is considered blank or not.')
parser.add_argument('image_path', help='The path to the image file.')
parser.add_argument('-t', '--threshold', type=int, default=10, help='Threshold for determining white pixels. The default value is 10.')
parser.add_argument('-w', '--white_percent', type=float, default=99, help='The percentage of white pixels for an image to be considered blank. The default value is 99.')
args = parser.parse_args()
blank = is_blank_image(args.image_path, args.threshold, args.white_percent)
if blank:
# Return code 1: The image is considered blank.
sys.exit(1)
else:
# Return code 0: The image is not considered blank.
sys.exit(0)