1.
Elements of Image Processing Systems
2. Human Visual
System
3. Imaging Geometry
- Affine and Perspective Transforms
4. Stereo Imaging
5. Image Sampling
and Quantization
6. 2-D Transforms
a. Introduction
to 1D and 2D Discrete Fourier Transforms
b. Properties
of 2-D Fourier Transforms
c. Other
Seperable 2D Transforms (Walsh, Hadamard, DCT)
d. The
Karhunen-Loeve Transform
7. Image Enhancement
a. Enhancement
by point processing - Histogram Equalization
b. Enhancement
by spatial filtering
c. Homomorphic
Filtering
8. Color Image
Procesing
9. Linear Operators
by Circulant Matrices
10. Fundamentals
of Image Coding
a. Elements
of Information Theory - Image Compression Methods
b. Lossless
Coding - Huffman and Arithmetic Coding
c. Transform
Coding
d. Standard
Video Compression - JPEG
11. Image Segmentation
a. Edge
an Feature Detection
b. Tresholding
c. Region
Segmentation
12. Shape Representation
and Segmentation
13. Elements
of Machine Vision
a. Matching
of templates + Expansion Matching
b. Optimal
Statistical Classifiers
c. Neural
Networks for Pattern Recognition
d. Introduction
to Object Recognition - Indexing
e. Morphology