kernel.py

import cv2
import numpy as np
import matplotlib.pyplot as plt

# Read image
img = cv2.imread("image2.jpg", 0)

# Threshold to binary
_, binary = cv2.threshold(img, 120, 255, cv2.THRESH_BINARY)

# Define kernel (3x3)
kernel = np.ones((3, 3), np.uint8)

# Erosion
eroded = cv2.erode(binary, kernel, iterations=1)

# Dilation
dilated = cv2.dilate(binary, kernel, iterations=1)

# Display results
plt.figure(figsize=(10, 6))

plt.subplot(1, 3, 1)
plt.title("Original Binary")
plt.imshow(binary, cmap='gray')
plt.axis('off')

plt.subplot(1, 3, 2)
plt.title("Erosion")
plt.imshow(eroded, cmap='gray')
plt.axis('off')

plt.subplot(1, 3, 3)
plt.title("Dilation")
plt.imshow(dilated, cmap='gray')
plt.axis('off')

plt.show()