Segmentation > Find Edges
Sets edge pixels as empty using the specified edge finding algorithm [1-3].
1. Type
The edge finding algorithm used
- Sobel: Detect edges using the Sobel algorithm
- Prewitt: Detect edges using the Prewitt algorithm
- Roberts: Detect edges using the Roberts algorithm
- Laplacian: Detect edges using the Laplacian algorithm
- Zero-Cross: Detect edges using the Zero-Cross algorithm
- Canny: Detect edges using the Canny algorithm (tends to cleaner edges than other algorithms) [3]
2. Threshold
A weakness setting for the edge find algorithm. Higher thresholds are weaker edge finds, but maybe produce less noise. (Recommended: 0.01)
Tips
- It is often useful to optimize the Find Edges function to a Standard Deviation Filter companion image. This allows for dynamic edge finding in presence of variation.
Referrences
[1] Canny, John, “A Computational Approach to Edge Detection,” IEEE Transactions on Pattern Analysis and Machine Intelligence,Vol. PAMI-8, No. 6, 1986, pp. 679-698.
[2] Lim, Jae S., Two-Dimensional Signal and Image Processing, Englewood Cliffs, NJ, Prentice Hall, 1990, pp. 478-488.
[3] Parker, James R., Algorithms for Image Processing and Computer Vision, New York, John Wiley & Sons, Inc., 1997, pp. 23-29.
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