Image Analysis and Processing

Part 1 – Image Processing

1. Image Sensing and Representation
2. Spatial Domain Filtering
3. Filtering in the Frequency domain
4. Edge Detection
5. Key Point Detection
6. Morphological Image Processing

Part 2 – Image Analysis

1. Image analysis in general
2. Textural features of image regions of interest
3. Descriptive statistics background
4. Statistical pattern recognition using parametric and non-parametric statistical hypothesis testing
5. Parametric and non-parametric normality & correlation tests
6. Data preprocessing: Dimensionality reduction, Class separability enhancement
7. Applications

Link to Eclass