| Date | Gonzalez/Woods | Topic | Link(s) |
|---|---|---|---|
| 1/13 | Chap 1 & 2.4 | Intro & Quantization | Lecture 01 |
| 1/18 | Chap 2 | Eye, File Load/Save, & Pixel Relationships |
Lecture 02 |
| 1/20 | Chap 3 | Gray Level Transform Function | Lecture 03 |
| 1/25 | " | Histogram Specification, Local Proc & Logic |
Lecture 04 |
| 1/27 | " | Spatial Filtering (Convolution) | Lecture 05 |
| 2/1 | Chap 4 | 2D Fourier & Spectrum | Lecture 06 |
| 2/3 | " | Frequency Filtering Ideal/Real | Lecture 07 |
| 2/8 | Chap 4 " Chap 5 |
Homomorphic Filtering & Convolution .vs. Correlation Characterizing Noise |
Lecture 08 |
| 2/10 | Chap 4 | Filtering Noise |
Lecture 09 Lecture 10 |
| 2/15 | Chap 5 | Geometric Transforms | Lecture 11 |
| 2/17 | Chap 6 | Color (part 1 - Denbigh) | Color basics, CIE Diagram, HSV/HLS/YIQ color models |
| 2/22 | Chap 6 | Color (part 2) | Lecture 12 |
| 2/24 | Chap 8 | Image Compression | Lecture 13 |
| 3/1 | Chap 8 | Mid-Term Preview Image Compression: Lossless |
Lecture 14 |
| 3/3 | Chap 7 | Multi-Resolution Processing & Haar Transform (Denbigh) | Image pyramids, Haar transform |
| 3/8 | Chap 8 | Image Compression: Lossy | Lecture 16 |
| 3/10 | Chap 1-7 | Mid-Term Exam (closed book) | EPS 108 |
| 3/15 | Spring Break | ||
| 3/17 | Spring Break | ||
| 3/22 | Chap 7 | Haar Transform & wavelets (Denbigh) | Haar transform Wavelets | Lecture 17
| 3/24 | Chap 9 | Erosion & Dilation Hit or Miss Transform |
Lecture 18 |
| 3/29 | " | Basic Morphology Algorithms | Lecture 19 |
| 3/31 | Chap 9 | Morphology Examples | Lecture 20 |
| 4/5 | Chap 10 | Segmentation Discontinuities | Lecture 21 |
| 4/7 | " | Edge Linking & Thresholding | Lecture 22 |
| 4/12 | Chap 11 | Representation Boundary Descriptors Regional & Relational |
Lecture 23 |
| 4/14 | Chap 11 | Representation Examples | Lecture 24 |
| 4/19 | Chap12 | Object Recognition | Lecture 25 |
| 4/21 | Guest Lecture Faculty Candidate |
||
| 4/26 | 910 work session | ||
| 4/28 | Review & 910 Demos | ||
| 5/6 | 12:00 - 1:50 p.m. | Final Exam | EPS 108 |