Dansk - English
Short version - Full version
Computer Vision/Digital Image Processing (Spring 2010) |
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| Course code : | EDIP-U1 | ||
| ECTS Credits : | 7,5 | Status : | Optional |
| Placement : | 5-7 semester | Hours per week : | 4 |
| Length : | 1 semester | Teaching Language : | Danish if no English students are present |
| Principal Content : | Image sources and image acquisition Image representation Human visual perception Image enhancement in the spatial domain Image enhancement in the frequency domain Image restoration Color image processing Image compression/decompression Image segmentation Object recognition |
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| Teaching method : | Alternating lectures (approx. 50% of scheduled time), laboratory exercises and course work assignments. Three compulsory course work assignments are to be worked out in groups/teams and documented in team reports. | ||
| Required prequisites : | DSM3A or DSM4, or similar documented competences, i.e. - Time and frequency domain analysis and filtering of sampled data. Time-frequency transforms (Fourier) - Probabilistic analysis and modeling of sampled data, including prediction. - Basic information theory: Entropy, coding and compression - Matrix algebra and MATLAB |
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| Responsible teacher : | Volker Krüger
, vok@cvmi.aau.dk |
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