Explore edge detection techniques in computer vision through this 44-minute lecture by Dr. Mubarak Shah from the University of Central Florida. Delve into the Marr Hildreth and Canny edge detectors, covering topics such as 2-D Gaussian, zero crossings, LOG separability, edge quality assessment, and hysteresis thresholding. Gain insights into the step-by-step process of the Canny edge detector, including non-maximum suppression. Enhance your understanding of fundamental computer vision concepts and their practical applications in image processing and analysis.
Overview
Syllabus
Marr Hildreth Edge Detector
2-D Gaussian
Finding Zero Crossings
On the Separability of LOG
Seperability
Example
Algorithm
Quality of an Edge
Canny Edge Detector Steps
First Two Steps
Third Step
Fourth Step
Non-Maximum Suppression
Suggested Reading
Canny Edge Detector Hysteresis Thresholding
Taught by
UCF CRCV
Tags
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