EN193 S18: Image Processing and Understanding
Fall2001
Course Schedule
***All Classes meet from 4:30-6:00 in B&H 092 unless otherwise specified***
September:
|
Lecture 1 |
Lecture 2 |
Imaging Labs |
|---|---|---|
|
Tuesday, 9/4 (2:30-4:00) Introduction Goals of IP Applications Sensors Image Types |
Thursday, 9/6 (2:30-4:00) Image Formation, Sampling and Quantization Image geometry Cameras Radiometry Perspective, Orthographic, and Weak projection Camera Model Image Storage Formats Image Visualization Basic Poinwise Image Operations Sampling Theorem Downsampling Thresholding |
All Labs Due Monday
(unless otherwise specified)
No Labs Due |
|
Monday, 9/10 Visual Perception Simultaneous Contrast Brightness Lightness Adaptation Webber's Law Acuity/Hyperacuity The Eye and Visual Pathways Color Color Blindness Illusory Images |
Wednesday, 9/12 Basic Image Operations Translation Rotation Connectivity Connected Components Arithmetic operations on Images (+,-,*,/) Masking (AND/OR) Windowing Region of Interest (ROI) Component Labeling |
Lab 1 Due Pointwise Image Processing (Due Wednesday) |
|
Monday, 9/17 (3:00-4:30) Basic Image Operations II Histogram Modification Histogram Equalization Rank Leveling |
Thursday, 9/20 (2:30-4:00) Local Image Operations Morphing Convolution Image Averaging Median Filtering Rank Ordering Laplacian Mach Bands Morphological Operations: Erosion/Dilation Opening/Closing |
Lab 2 Due Image Region Processing |
|
Monday, 9/24 Fourier Transforms Frequency Domain Filters highpass bandpass lowpass Weiner Filter Image Restoration Discrete Cosine Transform and Compression Nyquist Sampling Rate |
Tuesday, 9/25 (2:30-4:00) Image Reconstruction & Template Matching Zooming in or out Interpolation Sinc Filtering ENO Interpolation Nonlinear Scale Spaces Matched Filtering Hough Transform Model Fitting Best Line/Ellipse/Template |
Project Selection Deadline: Friday 9/28
Lab 3 Due Image Enhancement and Warping |
October:
|
Lecture 1 |
Lecture 2 |
Imaging Labs |
|---|---|---|
|
Monday, 10/1 Edge Detection Elongated Receptive Field in the Visual Cortex Sobel Operator Numerical Differentiation |
Wednesday, 10/3 Edge Detection II Canny Susan |
Lab 4 Due Filtering/Template Matching |
|
Monday, 10/8
(NO CLASS) |
Wednesday, 10/10 Edge Detection III Heitger Edge Linking Corner Detection |
Lab 5 Due Edge Detection |
|
Monday, 10/15 Segmentation Statistical Classification Region Growing Seeded Region Growing |
Wednesday, 10/17 Segmentation II Clustering Watershed Segmentation |
Lab 6 Due Edge Linking & Boundary Following |
|
Monday, 10/22
Initial Project Presentations |
Tuesday, 10/23 (2:30-4:00)
Initial
Project Presentations |
No Labs Due |
|
Wednesday, 10/31 Segmentation III/Active Contours Snakes Deformable Contours Curve Evolution |
Thursday, 11/1 (2:30-4:00) Active Contours II Livewire Deformable Templates |
Lab 7 Due Segmentation |
November:
|
Lecture 1 |
Lecture 2 |
Imaging Labs |
|---|---|---|
|
Monday, 11/5 Tracking/Optical Flow |
Wednesday, 11/7 Boundary Representation |
Lab 8 Due Active Contours |
|
Monday, 11/12 Boundary Representation II |
Wednesday, 11/14 Object Recognition Feature Graph Matching Curve Matching and Applications |
Lab 9 Due Tracking |
|
Monday, 11/19
Mid-Project Presentations |
Tuesday, 11/20 (2:30-4:00)
Mid-Project Presentations |
No Labs Due |
|
Monday, 11/26 Object Recognition II |
Wednesday, 11/28 Color Halftoning Color Spaces Color Standards and Calibration |
Project Progress Report 1 |
December:
|
Lecture 1 |
Lecture 2 |
Imaging Labs |
|---|---|---|
|
Monday, 12/3 Shape From Shading |
Wednesday, 12/5 Review of Course (LAST DAY OF CLASS) |
Project Progress Report 2 |
|
Monday, 12/10
|
Wednesday, 12/12
|
Project Progress Report 3 |
|
Final Project Presentations Times TBA |
Final Project Presentations Times TBA |
|
Readings
9/4 - Introduction
- Jain Ch.1 pp. 1-10
9/6 - Image Formation - Ballard & Brown Ch. 2 pp. 17-25
Digital Snapshots -
Trucco & Verri Ch. 2 pp. 15-51
9/12 - Binary Algorithms - Jain et. al. pp. 39-52
Geometrical Image
Modification - Pratt Ch. 14 pp. 421-432
9/17 - Morphological Image Procesing - Pratt Ch. 15 pp. 449-451
Enhancement By
Point Processing - pp. 166-181
9/20 - Image Warping - Holzmann pp. 34-37, 44-47, 58-61, 72-73
Image Filtering -
Jain et. al. Ch. 4 pp. 112-137
9/24 - Fourier
Transform Reference - pp. 213-215, 335-339, 342
9/25 - Template Matching - Jain et. al. pp. 482-483
Deblurring Gaussian
Blur - Paper: Hummel, Kimia & Zucker
10/1 - Image
Approximation - Jain et. al. pp. 162-167
10/15 -
Segmentation - Pratt pp. 622-625