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2-D Gaussian
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Classroom Contents
Image Filtering, Convolution, and Edge Detection
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- 1 Intro
- 2 Definitions
- 3 Examples: Analytic Derivatives
- 4 Discrete Derivative: Finite Difference
- 5 Derivatives in 2 Dimensions
- 6 Derivatives of Images
- 7 Correlation & Convolution
- 8 Image Noise
- 9 Gaussian Filter
- 10 2-D Gaussian
- 11 Practice with linear filters
- 12 Sharpening
- 13 Edge detection
- 14 Origin of Edges
- 15 What is an Edge?
- 16 Characterizing edges
- 17 Intensity profile
- 18 Tradeoff between smoothing and localization
- 19 Edge Detectors
- 20 Prewitt and Sobel Edge Detector
- 21 Prewitt Edge Detector
- 22 David Marr
- 23 Ellen Hildtreh
- 24 Marr Hildreth Edge Detector
- 25 Finding Zero Crossings
- 26 On the Separability of Gaussian
- 27 On the Separability of LOG
- 28 LOG Algorithm
- 29 Quality of an Edge
- 30 John Canny
- 31 Canny Edge Detector
