Image Processing and Image Understanding
The course introduces students to basic methods in image processing and image understanding, with a number of applications.
- image sensors
- color and color theory
- linear filters
- mathematical morphology
- spectral methods
- template matching
- geometric matching (Hough transform, RANSAC)
- digital photography / computational photography
- medical image processing
- image databases
- object recognition
- document analysis and OCR
- digital libraries
Readings
- Gonzales and Woods: Digital Image Processing
- Ballard and Brown: Computer Vision (old but still relevant)