Historical snapshot — AY2024/2025 Semester 1 · View current offering →
ModsIE4476AY2024/2025 Semester 1
Image Processing Computer Vision
AY2024/2025 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 |
Available Indexes
| Mon | Tue | Wed | Thu | Fri | |
|---|---|---|---|---|---|
| 930 | |||||
| 1000 | |||||
| 1030 | |||||
| 1100 | |||||
| 1130 | |||||
| 1200 | |||||
| 1230 | |||||
| 1300 | |||||
| 1330 | |||||
| 1400 | |||||
| 1430 | |||||
| 1500 | |||||
| 1530 | |||||
| 1600 | |||||
| 1630 | |||||
| 1700 | |||||
| 1730 | |||||
| 1800 |