Knowledge of:
- Ways of describing images, including histograms
- Linear/non-linear filters and morphological filters
- Image processing tasks including edge and curve detection and automatic thresholding
- Color spaces and their relations
- Shape descriptors, and their comparison
Experience with:
- Designing and deriving filters to enhance images or extract features
- Applying filters, including morphological filters
- Designing image processing pipelines
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Image Processing offers the basic knowledge required for manipulation of digital images. This includes simple operations on grey values (for example for image enhancement and object extraction) and spatial operations (for example for detecting object edges and geometric image transformation). The course will be in English and includes these topics:
- Histograms and point operators
- Filters and edges
- Morphological filters
- Color spaces and quantization
- Detecting curves and corners
- Automatic thresholding
- Geometric operations
- Comparing images
- Scale-invariant feature transforms
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