This course is a continuation from Digital Image Processing I. Further understanding of the underlying principles of digital image formation and related technical aspects, and their applications in medical imaging areas will be emphasised. Appreciation of problem solving methods employed by using various image processing techniques will also be highlighted. Application of image analysis techniques as they apply to different imaging modalities will also be discussed. Students will also be exposed to current approaches in image processing with respect to particular imaging modalities.
At the end of the course, students should be able to:
- Explain the various image processing techniques related to digital image processing; and the concept and function of health/hospital information system.
- Solve problems related to image processing in medical imaging using various image processing techniques.
- Demonstrate information retrieval and management skills through internet and literature search related to current health/hospital information system.
Course Syllabus
| Topic | Remarks |
|---|---|
| WEEK 1 (29/3 – 2/4) Chapter 1 – Review of Image processing Topics • Image acquisition • Image enhancement • Image reconstruction • Color Image Processing | Start Entrance Survey Lecture note 1: Review of Image processing Topics Lab 1: Lab Introduction |
| WEEK 2 (5/4 – 9/4) Chapter 1 – Review of Image processing Topics (continue) • Image acquisition • Image enhancement • Image reconstruction • Color Image Processing | Exit Entrance Survey Lecture note 1: Review of Image processing Topics Lab : Lab Introduction |
| WEEK 3 (12/4 – 16/4) Chapter 1 – Review of Image processing Topics (continue) • Image acquisition • Image enhancement • Image reconstruction • Color Image Processing | Lecture note 1: Review of Image processing Topics Lab 1: Matlab GUI |
| WEEK 4 (19/4 – 23/4) Chapter 2 – Image Compression • Lossy image • Lossless image compression | Start Assignment 1 Lecture note 2: Image Compression Lab 2: Assignment 1 (Compression) |
| WEEK 5 (26/4 – 30/4) Chapter 3 – Morphological Image Processing • Erosion and Dilation • Opening and Closing • Basic Morphological Algorithm | Lecture note 3: Morphological Image Processing Lab 3: Morphological operations Download images |
| WEEK 6 (3/5 – 7/5) Chapter 4 – Image Segmentation • Point, line, and Edge detection • Thresholding • Region-based Segmentation | Submit Assignment 1 (10/5/2021)(Monday) Lecture note 4: Image Segmentation Lab 4: Thresholding Download images |
| (10/5 – 16/5) | SEMESTER BREAK (HARI RAYA AIDIL FITRI) |
| WEEK 7 (17/5 – 21/5) Chapter 4 – Image Segmentation (continue) • Point, line and Edge detection • Thresholding • Region-based Segmentation | Lecture note 4: Image Segmentation Lab 5: Point, line and edge detection Download images |
| WEEK 8 (24/5 – 28/5) | TEST 1 (25/5/2021) Chapter 1 – 3 (2 Hours) |
| (30/5 – 6/6) | CUTI PERAYAAN KHAS |
| WEEK 9 (7/6 – 11/6) Chapter 5 – Representation and Description • Representation • Boundary descriptor • Regional Descriptor | Start Student Feedback Online (SuFO) Lecture note 5: Representation and Description Lab 7: CNN using MATLAB toolbox (Part 1) |
| WEEK 10 (14/6 – 18/6) Chapter 6 – Object Recognition • Pattern and Pattern Classes • Recognition based on Decision-theoretic Methods • Structural Methods | Lecture note 6: Object Recognition Lab 8: CNN project with GUI in MATLAB (Part 2) Download project file |
| WEEK 11 (21/6 – 25/6) Chapter 7 – Picture Archiving and Communication System (PACS) and DICOM Telemedicine • Telemedicine and Teleradiology • Health information system • Radiololgy information system | Lecture note 7: Picture Archiving and Communication System (PACS) and DICOM Telemedicine Lab 9: Recognise flowers using CNN in MATLAB using GUI (Part 3) Download flower dataset |
| WEEK 12 (28/6 – 2/7) Group project preparation Lab: Group project | Progress presentation |
| WEEK 13 (5/7 – 9/7) Group project preparation Lab: Group project | Progress presentation |
| WEEK 14 (12/7 – 16/7) Group project presentation | Exit Survey Group project presentation Exit Student Feedback Online (SuFO) |
| (17/7 – 21/7) | Study week |
| WEEK 15 (22/7 – 12/8) Final assessment | Submit Project report (25/7/2021)(Sunday) FINAL EXAMINATION (27/7/2021) (Tuesday) |
