Lectures
You can download all of the lecture materials here. Please email me if you find any mistakes.
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Course Introduction and 2D Fourier transform
[Intro Slides] [Analog Images: Part I]
- What is machine perception/image processing?
- The basic objects: Images
- Vector-space formulation of analog images
- 2D systems
- 2D Fourier transform
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2D LSI Systems and Image Acquisition
[Analog Images: Part II] [Image Sampling and Acquisition: Part I]
- Orientation estimation
- Characterization of LSI systems
- Sampling theory
- Aliasing problems
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Image Quantization and Filtering
[Image Sampling and Acquisition: Part II] [Image Filtering: Part I]
- Image quantization
- Grayscale vs. spatial resolution tradeoff
- 2D z-transforms
- Image filtering
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Image Filtering Considerations and Binary Morphology
[Image Filtering: Part II] [Morphological Processing: Part I]
- Separability
- Boundary conditions
- Useful image processing filters
- Binary morphology
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Practice Midterm
- Practice midterm solutions
- The midterm will cover all material through the first half of week 4