GEOS 622 Overview |
Images |
Schedule & Notes |
0. Course overview and essentials
1. Fundamentals of image processing
(download/view
lecture notes; download/view presentation)
1.1. Images: Image representation, components of an image
processing sequence
1.2. Image acquisition and digitization: Biology and optics of
image processing, cameras, scanners and other acquisition devices;
digitization
2. Greyvalue histograms and point operations
(download/view lecture notes; download/view presentation)
2.1. Greyvalue histograms: Greyvalue distributions &
statistics, thresholding & segmentation
2.2. Point operations: Histogram transforms, pixels, gridding
& quantization
3. Spatial transforms (download/view
lecture notes; download/view presentation)
3.1. Geometric transformations: Interpolation, geometric
operations and projections
3.2. Linear filtering: Neighbourhoods, kernels, convolutions
& their applications
3.3. Non-linear filtering: Morphological operators, erosion
& dilation of binary and greyscale images, variant
operations
4. Frequency domain transforms
(download/view
lecture notes; download/view presentation)
4.1. Fourier transforms: 1-D and 2-D transforms
4.2. Applications of frequency domain transforms: Analysis,
restoration &compression of images
5. Pattern recognition: Image segmentation & texture analysis (download/view
pdf document; download/view presentation)
5.1. Global and local thresholding
5.2. Gradient/edge detection
5.3. Adaptive segmentation
5.4. Texture analysis: Definitions and measures of
texture, point- and neighbourhood-based methods
5.5. Object measurements: Size, shape and orientation
6. Processing of colour and multi-spectral
images (download/view
pdf document, part 1/2, download/view
part 2/2; download/view presentation)
6.1. Acquisition and representation: Image acquisition
from colour camera, spectral radiometer etc.; colour representations
and transforms
6.2. Multispectral transforms: Statistics, principal component
analysis, classification
7. Image-processing applications in the geosciences: Strategies, applications and caveats - A summary
Tentative class schedule:
|
Week 1, Sep 4 & 11 |
Fundamentals |
|
Week 2, Sep 18 & tbd |
Fundamentals; Grey values and point operations |
|
Week 3, Sep 21 & 25 |
Grey values and point operations |
|
Week 4, Sep 28 & Oct 2 |
Spatial transforms |
|
Week 5, Oct 5 & 9 |
Spatial transforms |
|
Week 6, Oct 12 |
Frequency-domain transforms (1st homework assignment due Oct 12) |
|
Week 6, Oct 16 |
1st quiz - covers everything up to and including spatial transforms |
|
Week 7, Oct 19 |
Frequency-domain transforms |
|
Week 7, Oct 23 |
Frequency-domain transforms |
|
Week 8, Oct 26 |
Pattern recognition: Texture analysis & adaptive filters |
|
Week 8, Oct 30 |
Pattern recognition: Image segmentation |
|
Week 9, Nov 2 |
Class Project outline presentations (2nd homework assignment due) - class from 2-5pm (two periods) |
|
Week 9, Nov 6 |
No class |
|
Week 10, Nov 9 & 13 |
Multispectral analysis |
|
Week 11, Nov 16 & 20 |
Multispectral analysis |
|
Week 12, Nov 23 |
Multispectral analysis (3rd homework assignment due) |
|
Week 12, Nov 27 |
Thanksgiving |
|
Week 13, Nov 30 |
No class |
|
Week 13, Dec 4 |
2nd quiz |
Week 14, Dec 7 |
Multispectral analysis |
Week 14, Dec 9 & 11 |
Project Presentations W 1.00-3.30pm, F 2-3.30pm (4th homework assignment due) |
| Week 15 | Final exams week - Project work complete by Dec 18 |
* Lecture notes are saved as Adobe Acrobat pdf documents
|
Last update: November 20, 2009 |
Back to GEOS 622 Overview |