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DIP Lecture 25: Active shape models
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Classroom Contents
Intro to Digital Image Processing Lectures, Spring 2015
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- 1 DIP Lecture 1: Digital Image Modalities and Processing
- 2 DIP Lecture 2: The human visual system, perception, and color
- 3 DIP Lecture 3: Image acquisition and sensing
- 4 DIP Lecture 4: Histograms and point operations
- 5 DIP Lecture 5: Geometric operations
- 6 DIP Lecture 6: Spatial filters
- 7 DIP Lecture 7: The 2D Discrete Fourier Transform
- 8 DIP Lecture 8: Frequency domain filtering; sampling and aliasing
- 9 DIP Lecture 9: Unitary image transforms
- 10 DIP Lecture 10: Edge detection
- 11 DIP Lecture 11: Edge linking and line detection
- 12 DIP Lecture 12: Thresholding
- 13 DIP Lecture 12a: Image Segmentation
- 14 DIP Lecture 12b: Snakes, active contours, and level sets
- 15 DIP Lecture 13: Morphological image processing
- 16 DIP Lecture 13a: Region description and filtering
- 17 DIP Lecture 14: Object and feature detection
- 18 DIP Lecture 15: Lossless image coding
- 19 DIP Lecture 16: Lossy image compression
- 20 DIP Lecture 17: Image restoration and the Wiener filter
- 21 DIP Lecture 18: Reconstruction from parallel projections and the Radon transform
- 22 DIP Lecture 19: Fan-beam reconstruction
- 23 DIP Lecture 20: Dithering and halftoning
- 24 DIP Lecture 21: Digital watermarking
- 25 DIP Lecture 22: Image blending
- 26 DIP Lecture 23: Photomontage and inpainting
- 27 DIP Lecture 24: Image retargeting
- 28 DIP Lecture 24a: Digital Image Forensics
- 29 DIP Lecture 25: Active shape models
