skimage_sobel_edge_detection_with_matplotlib_visualization.py

1import matplotlib.pyplot as plt
2from skimage import data, filters
3
4# Load a sample image from the scikit-image dataset
5image = data.coins()
6
7# Apply a Sobel filter to find edges
8edges = filters.sobel(image)
9
10# Create a figure with two subplots
11fig, axes = plt.subplots(ncols=2, figsize=(8, 4))
12ax = axes.ravel()
13
14# Display the original image
15ax[0].imshow(image, cmap=plt.cm.gray)
16ax[0].set_title('Original Image')
17
18# Display the edge-detected image
19ax[1].imshow(edges, cmap=plt.cm.gray)
20ax[1].set_title('Sobel Edges')
21
22# Hide axes for both plots
23for a in ax:
24    a.axis('off')
25
26# Adjust layout and show the plot
27plt.tight_layout()
28plt.show()