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 |
| Grade Type | |
| Prerequisite | EE2006, EE2007, IE2110, IE2106, IE2107, EE2010, IE2007, IM2004, IM2006, IE2010, IM2007 |
| Exam | 26 November 2026, 5.00 pm - 7.00 pm |
The Exam information shown may be subject to changes. Students are to check the finalised exam timetable with exam seat information, which will be available at the 'Examination Seating Arrangement' webpage, 2 weeks before start of examination.
Prerequisite Graph
Required first
EE2006Engineering Mathematics IEE2007Engineering Mathematics IiEE2010Signals & SystemsIE2007Engineering Mathematics IiIE2010Signals & SystemsIE2106Engineering Mathematics IIE2107Engineering Mathematics IIIE2110Signals & SystemsIM2004Signals & SystemsIM2006Engineering Mathematics IIM2007Engineering Mathematics IiImage Processing & Computer Vision
Unlocks
Available Indexes
| Mon | Tue | Wed | Thu | Fri | |
|---|---|---|---|---|---|
| 930 | COMMON LEC (EELE) 0930-1220 Wed LT28 | ||||
| 1000 | |||||
| 1030 | |||||
| 1100 | |||||
| 1130 | |||||
| 1200 | |||||
| 1230 | |||||
| 1300 | |||||
| 1330 | |||||
| 1400 | |||||
| 1430 | |||||
| 1500 | |||||
| 1530 | |||||
| 1600 | |||||
| 1630 | |||||
| 1700 | |||||
| 1730 | |||||
| 1800 | |||||
| 1830 | |||||
| 1900 | COMMON LEC (EPLE) 1900-2150 Tue TR+64 | ||||
| 1930 | |||||
| 2000 | |||||
| 2030 | |||||
| 2100 | |||||
| 2130 |
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