Spaces:
Running
Running
File size: 1,234 Bytes
0872418 1d64201 0872418 1d64201 0872418 1d64201 0872418 1d64201 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 |
#This file is a version of the original cleaning_images.py fiele, but it has been modified to only process a single image.
import cv2
import numpy as np
def preprocess_image(image_path):
print(f" Preprocessing image: {image_path}")
image = cv2.imread(image_path)
if image is None:
print(f"Error: Could not read image from {image_path}")
return None
gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
denoisy_img = cv2.GaussianBlur(gray, (5, 5), 0)
clahe = cv2.createCLAHE(clipLimit=2.0, tileGridSize=(8, 8))
enhanced = clahe.apply(denoisy_img)
_, thresholded = cv2.threshold(enhanced, 150, 255, cv2.THRESH_BINARY)
edges = cv2.Canny(thresholded, 100, 220, apertureSize=3)
output_img = cv2.cvtColor(gray, cv2.COLOR_GRAY2BGR)
lines = cv2.HoughLinesP(edges, rho=1, theta=np.pi / 180, threshold=50,
minLineLength=35, maxLineGap=5)
if lines is not None:
for line in lines:
x1, y1, x2, y2 = line[0]
cv2.line(output_img, (x1, y1), (x2, y2), (210, 210, 210), 1)
blended_image = cv2.addWeighted(image, 0.7, output_img, 0.3, 0)
print(f"Preprocessing complete for: {image_path}")
return blended_image
|