image preprocessing.py

[pranjaltiwari16]

import numpy as np import cv2

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Load the image

image = cv2.imread(pathfile)

Convert the image to grayscale

gray_image = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)

Apply Gaussian blur to the image

blurred_image = cv2.GaussianBlur(gray_image, (5, 5), 0)

Threshold the image

thresholded_image = cv2.adaptiveThreshold(blurred_image,100,cv2.ADAPTIVE_THRESH_GAUSSIAN_C,cv2.THRESH_BINARY,30,3)[1]

thresholded_image = cv2.adaptiveThreshold(blurred_image, 255, cv2.ADAPTIVE_THRESH_GAUSSIAN_C, cv2.THRESH_BINARY, 5, 3)

Save the processed image

cv2.imwrite('processed_image.png', thresholded_image)

Display the preprocessed image

cv2.imshow('Processed Image', thresholded_image) cv2.waitKey(0) cv2.destroyAllWindows()

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