This course is intended to enable students to understand the underlying principles of digital image formation and their applications in medical imaging areas. It is structured to acquaint the students with basic understanding and applications of image processing concept, common techniques and mathematical foundations.
At the end of the course, students should be able to:
- Explain the basic theories, concepts and various image processing techniques related to digital image processing.
- Solve problem related to image processing in medical imaging using various image processing techniques.
- Demonstrate teamwork skills through group lab task on digital images, using MATLAB.
Course Syllabus
| Topic | Remarks |
|---|---|
| WEBINAR 1 (16/4/2022) Course introduction Chapter 1.1 – Introduction to Image processing • What is image processing • Applications of image processing • Image processing Hardware Chapter 1.2 – Introduction to Image processing • Human visual perception • Electromagnetic spectrum • Image properties • Image aqcuisition • Spacial & gray-level resolution • Zoom & shrinking | Start Entrance Survey Start assignment (16/4/2022) Textbook: Chapter 1 & 2 Lecture note 1: Introduction to Image processing Lab 1: MATLAB installation Lab 2: (Watch) Complete MATLAB guide Introduction to MATLAB Lab 3: (Watch) Lab lesson 1 (Introduction) Download image |
| WEBINAR 2 (7/5/2022) Chapter 2.1 – Image Enhancement (Spatial domain) • Histogram processing • Graylevel transformations Chapter 2.2 – Image Enhancement (Spatial domain) • Image smoothing • Image sharpening • Logical and arithmetic operations | Textbook: Chapter 3 Lecture note 2: Image Enhancement Lab 4: (Watch) Lab lesson 2 (image fundamental) Download image Lab 5: (Watch) Lab lesson 3 (image enhancement using point processing operation) Download images Lab 6: Lab lesson 4 (image enhancement using arithmetric operation) Download images |
| WEBINAR 3 (21/5/2022) Chapter 3 – Frequency Filtering | Textbook: Chapter 3 Lecture note 3: Frequency Filtering Lab 7: Lab lesson 5 Download images |
| WEBINAR 4 (18/6/2022) Chapter 4.1 – Color Processing • Color models • Color segmentation Chapter 4.2 – Color Processing • Color smoothing and sharpening | Submit assignment – 18/6/2022 Start individual project – (18/6/2022) Test – (18/6/2022) – Not confirm Textbook: Chapter 6 Lecture note 4: Color Processing Lab 8: Basic GUI (Text field & button) |
| WEBINAR 5 (2/7/2022) Individual project | Start Student Feedback Online (SuFO) Lab 9: Basic GUI (Slider) Basic GUI (Pop-up menu) Lab 10: (Watch) Basic GUI (Plotting data to Axes) Basic GUI (Insert image to Axes) Lab 11: (Watch) Project preparation and discussion |
| Final Test (11/7/2022)(Not confirm) | Submit individual project (11/7/2022) Final test – (11/7/2022)-Not confirm Exit Survey Exit Student Feedback Online (SuFO) |
