0. Course overview and essentials (download/view pdf document, 20 kB)

1. Fundamentals of image processing (download/view pdf document, 820 kB)
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 pdf document, 470 kB)
2.1. Greyvalue histograms: Greyvalue distributions & statistics, thresholding & segmentation
2.2. Point operations: Histogram transforms, pixels, gridding & quantization

3. Spatial transforms (download/view pdf document, 827 kB)
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 pdf document, 1.1 MB)
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)
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

6. Processing of colour and multi-spectral images (download/view pdf document, part 1/2, download/view part 2/2)
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. Object measurements
7.1. Size, shape and orientation: Statistics of size distributions, resolution and scale; shape analysis, orientational statistics
7.2. Stereological models and microstructural analysis
7.3. Analysis of 3-D data sets

8. Image-processing applications in the geosciences: Strategies, applications and caveats - A summary

Class schedule till end of semester

Week 6, Oct 15 & 18 (Spatial transforms); October 18 9.30-12.00 with discussion of semester project (please come prepared)
Week 7, Oct 22 (Spatial transforms, Frequency-domain transforms) & 25 (9.30-12.00 noon) (Frequency-domain transforms)
Week 8, Oct 29 & Wednesday Oct 31, 8.45-10.15am (Frequency-domain transforms and image segmentation); Homework #2 due Oct 30 5.00pm
Week 9, Nov 5, Quiz #1 (everything up to spatial filtering); Nov 8 – no class
Week 10, Nov 12 & 15 – no class
Week 11, Nov 19  (Nov 22 Thanksgiving Break), Homework #3 due Nov 20 5.00pm
Week 12, Nov 26 (Pattern recognition & multispectral analysis) & 29 (9.30-12.00 noon) (multispectral analysis)
Week 13, Dec 3 & 6 (9.30-12.00 noon); Presentations on Thursday 12/6; Dec 7 9.30-11.00am Quiz 2, WRRB 101
Week 14, Dec 10, Quiz #2  10-11.30am WRRB 101 & Dec 13: AGU no class; Homework #4 due Friday Dec 14
Week 15, hand in final project report by Dec 18, 5.00pm

Original, tentative schedule:

 * Lecture notes are saved as Adobe Acrobat pdf documents