image_processing_kernels.py

import cv2
import numpy as np

# Load the image
image = cv2.imread('/Users/sametsahin/Downloads/scuba_diver.jpeg')

# Define all kernels
kernels = {
    'Sobel Vertical': np.array([[-1, 0, 1], [-2, 0, 2], [-1, 0, 1]]),
    'Sobel Horizontal': np.array([[-1, -2, -1], [0, 0, 0], [1, 2, 1]]),
    'Prewitt Vertical': np.array([[-1, 0, 1], [-1, 0, 1], [-1, 0, 1]]),
    'Prewitt Horizontal': np.array([[-1, -1, -1], [0, 0, 0], [1, 1, 1]]),
    'Sharpening': np.array([[0, -1, 0], [-1, 5, -1], [0, -1, 0]]),
    'Box Blur': np.array([[1/9, 1/9, 1/9], [1/9, 1/9, 1/9], [1/9, 1/9, 1/9]]),
    'Gaussian Blur': np.array([[1, 2, 1], [2, 4, 2], [1, 2, 1]]),
    'Emboss': np.array([[-2, -1, 0], [-1, 1, 1], [0, 1, 2]]),
    'Laplacian Edge Enhancement': np.array([[0, 1, 0], [1, -4, 1], [0, 1, 0]])
}

# Apply each kernel and display the results
for name, kernel in kernels.items():
    filtered_image = cv2.filter2D(image, -1, kernel)
    cv2.imshow(name, filtered_image)
    cv2.waitKey(0)
    cv2.destroyAllWindows()