GEOS 622 Overview

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Schedule & Notes

 

 

GEOS 622, Digital image processing in the geosciences: Syllabus and lecture 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

Homework problem 1 (download/view document) 

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

Homework problem 2 (download/view document) 

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

Homework problem 3 (download/view document) 

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

Homework problem 4 (download/view pdf document) 

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

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