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This lecture explains the Canny edge detector, covering gradients, gradient orientation, non-maximum suppression, hysteresis thresholding, Gaussian smoothing, and edge detection with deep learning.
Syllabus
Canny Edge Detector
Canny-Gradients
Gradient Orientation
Non-maximum suppression
Hysteresis Thresholding [L, H]
Final Canny Edges
Effect of Gaussian Kernel (smoothing)
Edge Detection with Deep Learning
Taught by
UCF CRCV