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 |
| Not Available To Programme | REP(ASEN), REP(BIE), REP(CBE), REP(CE), REP(CSC), REP(CVEN), REP(ENE), REP(MAT), REP(ME) |
| Not Available To All Programme With | |
| Not Available As BDE/UE To Programme | |
| Not Available As Core To Programme | |
| Not Available As PE To Programme | |
| Mutually Exclusive With | |
| Not Offered As BDE | |
| Not Offered As Unrestricted Elective | |
| 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 |
Other offerings
Other Relevant Mods
IE0005
Introduction To Data Science & Artificial Intelligence
IE1005
From Computational Thinking To Programming
IE2104
Digital Electronics
IE2106
Engineering Mathematics I
IE2107
Engineering Mathematics Ii
IE2108
Data Structures & Algorithms In Python
IE2110
Signals & Systems
IE3012
Communication Principles
IE3014
Digital Signal Processing