ECE 415 - Image Analysis and Computer Vision I

Description: Credit 3U/4G. Image formation, geometry and stereo. Two-dimensional image analysis by fourier and other 2D transforms. Image enhancement, color, image segmentation, compression, feature extraction, object recognition.

Prerequisite: MATH 310; or grade of C or better in ECE 310

Topics:

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

 
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