📗 -> 10/10/24: Edges
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Variety of Factors form edges:
Image Gradient:
Rapid changes in the image indicate edges. Edges
Differentiating a digital image F[x,y]?
Option 1) Reconstruct a continuous image, then take gradient
Option 2) Take a discrete derivative (“finite difference”)
The gradient direction is given by
The edge strength is given by the norm/magnitude
Noise
Difference detectors react strongly to noise
To remedy this:
Canny Edge Detector
This is probably the most widely used edge detector in computer vision
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