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program5.py
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program5.py
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import cv2
import numpy as np
# Read the input color image
image = cv2.imread("CV/cat1.jpg")
# Check if the image is loaded successfully
if image is None:
print("Error: Could not load the image.")
else:
# Define a smaller kernel for milder morphological operations
kernel_size = 3
kernel = np.ones((kernel_size, kernel_size), np.uint8)
# Erosion
eroded_image = cv2.erode(image, kernel, iterations=5)
# Dilation
dilated_image = cv2.dilate(image, kernel, iterations=5)
# Resize images for better visibility
scale_factor = 0.1 # Adjust the scale factor as needed
resized_original = cv2.resize(image, None, fx=scale_factor, fy=scale_factor)
resized_eroded = cv2.resize(eroded_image, None, fx=scale_factor, fy=scale_factor)
resized_dilated = cv2.resize(dilated_image, None, fx=scale_factor, fy=scale_factor)
# Display the original, eroded, and dilated images
cv2.imshow("Original Image", resized_original)
cv2.imshow("Eroded Image", resized_eroded)
cv2.imshow("Dilated Image", resized_dilated)
cv2.waitKey(0)
cv2.destroyAllWindows()