Archive April 14, 2022

Chapter 1.1 – Introduction to Image Processing

Chapter 1.2 – Introduction to Image Processing

Chapter 2.1 – Image Enhancement

Chapter 2.2 – Image Enhancement

Chapter 3 – Frequency Filtering

Chapter 4 – Color Processing

Assessments

Assignment (20%) – (18/6/2022)

Assignment need to be done by students are the lab assignment based on the 5 lab lessons. All 5 lab assignment need to be submitted at week 9. Please export to .pdf file and upload in the UFuture.

Test (20%) – (18/6/2022)

Offline test (week 5) will be conducted and only cover chapter 1 and 2. This is close book test. Student will get a set of question through Whatapps and need to submit it within 1 hours by uploading to UFuture.  

1. Download question paper in format .doc from Whatapps.
2. Answer all the questions in 1 hours by modifying the file.
3. Save and sent the modified/answered paper file (.pdf) through UFuture.
4. That all. Don’t worry.

Individual project (20%) – (11/7/2022)

Student need to submit a mini project using Matlab that has GUI (Graphical User Interface) that can modify an image and get some output from that. 

1. The student need to develop a GUI (Graphical User Interface) project during the semester and submit at the end of semester. 
2. The project must contains all of the following features:
   1. Read image file
   2. Convert to grayscale
   3. Convert to binary/BW
   4. Crop the image
   5. Function to enhance the image such as noise filtering, edit contrast and etc (at least 3).
   6. Save the output image in a project file.
3. Submit the project file with your 5-10 minutes video (make it short but can cover all) presentation explaining your project. Must include yourself explaining the project.

Final examination (40%) – (27/7/2022)

Date: 27/7/2022

Time: 2.15 PM – 5.15 PM

Duration: 3 Hours

Location: Examination hall

This examination will cover all of the chapters (1-4).

Subjective questions and contain 2 parts:

1. Part A (3 questions – 45 marks)
2. Part B (5 questions – 65 marks)

Hints:

1. List, calculation, define, explain, draw, elaborate, suggest, state, discuss, difference.
2. No coding.
3. Question has more marks need more explanation.

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)