• Lossy image
• Lossless image compression
Chapter 1 – Review of Image processing Topics
• Image acquisition
• Image enhancement
• Image reconstruction
• Color Image Processing
Note: This chapter 1 is about a review of image processing that you have been learn last semester in MRD 501. Just go to the page of these chapters to learn more. No slide are provided.
Note: Upload the group project presentation from MRD 501 using this link
KAHOOT CHAMPION (CSC 531)
Chapter 1 – Review of Image processing Topics
Chapter 2 – Image Compression
Chapter 3 – Morphological Image Processing
Chapter 4 – Image Segmentation
Chapter 5 – Representation and Description
Chapter 6 – Object Recognition
Chapter 7 – Picture Archiving and Communication System (PACS) and DICOM Telemedicine
Exercise
Assessment (MRD 531)
Assessments
- Assignment (20 % )
- Assignment 1 :
- 15 % GUI Compression (Submission deadline 10/5/2021-Monday)
- 5 % Mind map (Submission deadline 28/6/2021-Monday)
- Assignment 1 :
- Test (50%)
- Test 1 : 25 % (tentative date : 24-28/5/2021)
- Test 2 (Final exam) : 25% (tentative date : 27/7/2021)
- Group Project (30%)
- Project development : 20 % (Final submission deadline: 25/7/2021)
- Project presentation: 10% (Final submission deadline: 25/7/2021)
KAHOOT CHAMPION (CSC 584)-20212
Course introduction
Chapter 1.1 – Review of Object Oriented Programming Concepts
Chapter 1.2 – Review of Object Oriented Programming Concepts (Inheritance)
Chapter 2 – Introduction to Java Enterprise Edition (Java EE)
Chapter 3.1 – Web Component – HTML and Servlet
Chapter 3.2 – Web Component – HTML and Servlet
Chapter 4.1 – Web Component – Java Server Page (JSP)
Chapter 4.2 – Java Server Page (JSP)
Chapter 5 – Java Database connectivity
Chapter 6 – Enterprise JavaBean (EJB) Components
Chapter 7 – Development of Enterprise Application
Chapter 8 – Packaging and Deployment of Enterprise Application
Course syllabus & Schema of work (MRD 531)
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) |
Chapter 8 – Packaging and Deployment of Enterprise Application
• Packaging components
• Packaging Java EE applications – EJB
modules, Web modules
• Deployment Descriptors
• Deployment Tools
Chapter 7 – Development of Enterprise Application
• Choose the Java EE Architecture and
Java EE pattern
• Design the Web components – HTML
and JSP
• Develop Java Beans and Servlets
• Construct the JDBC connectivity with
the enterprise application
Chapter 6 – Enterprise JavaBean (EJB) Components
• Define Java Bean – create java bean
• Describe the custom bean properties
and events
• Describe types of EJB – session beans,
entity beans and message driven beans
Chapter 5 – Java Database connectivity
• Define Java Bean – create java bean
• Describe the custom bean properties
and events
• Describe types of EJB – session beans,
entity beans and message driven beans
