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Convolution
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Classroom Contents
Filtering in Computer Vision - Lecture 2
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- 1 General
- 2 Binary Images
- 3 Gray Level Image
- 4 Gray Scale Image
- 5 Color Image Red, Green, Blue Channels
- 6 Image Histogram
- 7 Image Noise
- 8 Gaussian Noise
- 9 Definitions
- 10 Discrete Derivative Finite Difference
- 11 Derivatives in 2 Dimensions
- 12 Derivatives of Images
- 13 Correlation
- 14 Convolution
- 15 Averages
- 16 Gaussian Filter
- 17 Properties of Gaussian
- 18 Linear Filtering
- 19 Filtering Examples
- 20 Blurring Examples
- 21 Filtering Gaussian
- 22 Gaussian vs. Smoothing
- 23 Noise Filtering
- 24 MATLAB Functions
- 25 An Application
- 26 Edge Detection in Images
- 27 What is an Edge?
- 28 Detecting Discontinuities
- 29 Derivative in Two-Dimensions
- 30 Image Derivatives
- 31 Derivatives and Noise
- 32 Image Smoothing
- 33 Gaussian Smoothing (Examples)
- 34 Edge Detectors
