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AY2025/2026 Semester 1
The objectives of this course are to introduce fundamental concepts and techniques in basic image processing and computer vision and their applications to solve real life problems. The topics covered include Digital Image Fundamentals, Linear and Shift Invariant (LSI) System for Image Processing, Image Transforms, Image Enhancement, Restoration, Nonlinear Image Processing and Morphological Image Processing, Decision theory, Classification and Machine Learning for Computer Vision. Application examples are also included.
| AUs | 3.0 AUs |
| Categories | CoreBDE |
| Not Available To Programme | REP(ASEN), REP(BIE), REP(CBE), REP(CE), REP(CSC), REP(CVEN), REP(ENE), REP(MAT), REP(ME) |
| Exam |
| Mon | Tue | Wed | Thu | Fri | |
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| 930 | |||||
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| 1800 |
| Mon | Tue | Wed | Thu | Fri | ||
|---|---|---|---|---|---|---|
| 930 | COMMON LEC (EELE) 0930-1220 Wed LT28, ONLINE Wk1-9,11-13, Teaching Wk10 | COMMON LEC (EELE) 0930-1220 Wed LT28, ONLINE Wk1-9,11-13, Teaching Wk10 | ||||
| 1000 | ||||||
| 1030 | ||||||
| 1100 | ||||||
| 1130 | ||||||
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| 1900 | COMMON LEC (EPLE) 1900-2150 Tue TR+90 | |||||
| 1930 | ||||||
| 2000 | ||||||
| 2030 | ||||||
| 2100 | ||||||
| 2130 | ||||||
