Edge Detection

Highlight edges and outlines in images

Overview

The Edge Detection node uses the Sobel algorithm to find and highlight edges in an image. It produces a grayscale image where bright pixels indicate strong edges (boundaries between different colors/tones).

Usage Tips

• Use a small radius (1-2) for detailed edge detection
• Apply Gaussian Blur before edge detection to reduce noise
• Invert the output for white backgrounds with dark lines
• Great for creating line art effects from photos

Common Pairings

• Gaussian Blur - Pre-blur to reduce noise before edge detection
• Invert - Invert for dark lines on light background
• Adjust BCG - Increase contrast to strengthen edge visibility

Gotchas

• Output is grayscale - apply color adjustment nodes if needed
• Noisy images produce noisy edges - blur first
• Very low contrast images may produce few visible edges