Digital Image Processing
| Title | Ψηφιακή Επεξεργασία Εικόνας / Digital Image Processing |
| Code | 090 |
| Faculty | Engineering |
| School | Electrical and Computer Engineering |
| Cycle / Level | 1st / Undergraduate |
| Teaching Period | Spring |
| Coordinator | Anastasios Ntelopoulos |
| Common | No |
| Status | Active |
| Course ID | 600001043 |
Programme of Study: Electrical and Computer Engineering
Registered students: 116
| Orientation | Attendance Type | Semester | Year | ECTS |
|---|---|---|---|---|
| ELECTRICAL ENERGY | Elective Courses | 8 | 4 | 5 |
| ELECTRONICS AND COMPUTER ENGINEERING | Elective Courses | 8 | 4 | 5 |
| TELECOMMUNICATIONS | Elective Courses | 8 | 4 | 5 |
| Academic Year | 2021 – 2022 |
| Class Period | Spring |
| Faculty Instructors | |
| Weekly Hours | 4 |
| Class ID | 600198759
|
Class Schedule
| Building | Polytechnic - wing C (ECE & Rural Eng.) |
| Floor | Floor 1 |
| Hall | Α7 (4) |
| Calendar | Monday 16:00 to 18:00 |
| Building | Polytechnic - wing C (ECE & Rural Eng.) |
| Floor | Floor 1 |
| Hall | Α7 (4) |
| Calendar | Tuesday 15:00 to 17:00 |
Course Type 2016-2020
- Scientific Area
Course Type 2011-2015
Specific Foundation / Core
Mode of Delivery
- Face to face
Digital Course Content
- e-Study Guide https://qa.auth.gr/en/class/1/600198759
- eLearning: https://elearning.auth.gr/course/view.php?id=11969
Language of Instruction
- Greek (Instruction, Examination)
Prerequisites
General Prerequisites
Linear Algebra, Probabilities, Signals and Systems theory, Stochastic Signals, Digital Signal Processing
Learning Outcomes
1. To understand the nature of images as information regarding colors and luminance.
2. To extend the mathematical tools used in 1D signal processing to the two dimensions.
3. To understand the problems that are handled by Digital Image Processing (Scene analysis, noise reduction, detection/recognition of objects, etc.)
4. To understand the theoretical aspects of tools (mathematical/algorithmic) used for the solution of the above problems.
5. To gain practical experience in the development of Digital Image Processing algorithms via simulation of selected image processing tools in Matlab.
General Competences
- Apply knowledge in practice
- Retrieve, analyse and synthesise data and information, with the use of necessary technologies
- Adapt to new situations
- Make decisions
- Work autonomously
- Be critical and self-critical
- Advance free, creative and causative thinking
Course Content (Syllabus)
1. Image perception and acquisition – Luminosity and Colors.
2. Digitization (Sampling and Quantization)
3. Images as 2D signals
3.1 Fourier and z image transforms
3.2 Convolution, Convolution theorems
3.3 Filters
3.4 2D stochastic processes
4. Image analysis
4.1 Edge and salient point detection
4.2 Image segmentation
4.3 Image feature extraction
4.4 Shape and contour computation
5. Image Enhancement
5.1 Color enhancement
5.2 Noise reduction
5.3 inverse filtering, Wiener filter
6. Multirate analysis/synthesis
Educational Material Types
- Slide presentations
- Book
Use of Information and Communication Technologies
Use of ICT
- Use of ICT in Course Teaching
- Use of ICT in Laboratory Teaching
- Use of ICT in Communication with Students
Description
e-notes
Implementation of homework assignments in Matlab
Communication via eTHMMY portal
Course Organization
| Activities | Workload | ECTS | Individual | Teamwork | Erasmus |
|---|---|---|---|---|---|
| Lectures | 72 | 2.4 | ✓ | ||
| Tutorial | 30 | 1 | |||
| Exams | 27 | 0.9 | |||
| homework assignemnts: simulation of DIP components in Matlab | 21 | 0.7 | ✓ | ||
| Total | 150 | 5 |
Student Assessment
Description
Evaluation is based on an intermediate examination, 3-4 homework assignments and the final examination
Student Assessment methods
- Written Exam with Multiple Choice Questions (Formative, Summative)
- Written Exam with Short Answer Questions (Formative, Summative)
- Written Exam with Problem Solving (Formative, Summative)
- homework assignments for the simulation of DIP algorithms (Formative, Summative)
Bibliography
Course Bibliography (Eudoxus)
1. Ψηφιακή Επεξεργασία και Ανάλυση Εικόνας
Κωδικός Βιβλίου στον Εύδοξο: 86
Έκδοση: 2/2010
Συγγραφείς: Παπαμάρκος Νικόλαος
ISBN: 978-960-92731-3-8
Διαθέτης (Εκδότης): ΝΙΚΟΛΑΟΣ ΠΑΠΑΜΑΡΚΟΥ
2. Ψηφιακή Επεξεργασία Εικόνας
Κωδικός Βιβλίου στον Εύδοξο: 8020
Έκδοση: 2/2010
Συγγραφείς: Ιωάννης Πήτας
ISBN: 978-960-91564-3-1
Διαθέτης (Εκδότης): ΙΩΑΝΝΗΣ ΠΗΤΑΣ
3. Ψηφιακή Επεξεργασία Εικόνας
Κωδικός Βιβλίου στον Εύδοξο: 18548692
Έκδοση: 3η έκδ./2010
Συγγραφείς: Gonzales
ISBN: 978-960-418-255-8
Διαθέτης (Εκδότης): ΕΚΔΟΣΕΙΣ Α. ΤΖΙΟΛΑ & ΥΙΟΙ Α.Ε.
4. ΨΗΦΙΑΚΗ ΕΠΕΞΕΡΓΑΣΙΑ ΕΙΚΟΝΑΣ & ΒΙΝΤΕΟ
Κωδικός Βιβλίου στον Εύδοξο: 110
Έκδοση: 1/2010
Συγγραφείς: Ι. Ν. ΕΛΛΗΝΑΣ
ISBN: 978-960-93-1836-5
Διαθέτης (Εκδότης): ΙΩΑΝΝΗΣ ΕΛΛΗΝΑΣ
Last Update
06-10-2021
