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Filtering in Computer Vision - Lecture 2
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- 1 CAP 5415 Computer Vision
- 2 Contents
- 3 Images: General
- 4 Binary Images
- 5 Gray Level Image
- 6 Gray Scale Image
- 7 Color Image Red, Green, Blue Channels
- 8 Image Histogram
- 9 Histogram Code
- 10 Image Noise
- 11 Gaussian Noise
- 12 Uniform Distribution
- 13 Salt and pepper Noise
- 14 Definitions
- 15 Examples: Analytic Derivatives
- 16 Discrete Derivative Finite Difference
- 17 Derivatives in 2 Dimensions
- 18 Derivatives of Images
- 19 Correlation and Convolution
- 20 Averages
- 21 Gaussian Filter
- 22 Properties of Gaussian
- 23 Linear Filtering
- 24 Filtering Examples
- 25 Filtering Gaussian
- 26 Gaussian vs. Averaging
- 27 Noise Filtering
- 28 Linearity
- 29 MATLAB Functions
