Topics of Image Processing

EE5806 Semester A 2019/2020

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Nov 17, 2019: Final Report Submission

According to the special arrangement of CityU in the assessment of the course without the final exam, the final grade of EE5806 will be based on only two assignments, mid-term exam and the group project. In addition, the assessment of the group project is based only on the final report as well as the presentation PPT, source code and demo video (optional). Remind students that the deadline for submitting the final report is December 2, 2019 (Week 14). Here are the details of the requirements for the final report submission:
  • Write a final report of the project with format similar to a research conference paper in two-column format with not less than 8 pages (not including references).
  • The IEEE conference paper templates are available here and here is the A4 Template
  • Students are also required to submit the source code and PPT for assessement.
  • All the PPT, Final Report and Source Code are required to submit to course gmail account at cityuee5806@gmail.com
  • The subject of your email should satisfy the following format:
    EE5806 Project Final Report - Group Number: Project Title
    Example: EE5806 Project Final Report - Group 7 : Digits Recognition Framework Based on Machine Learning

Nov 14, 2019: Cancellation of Make-up Lecture and Project Presentation

According to the special arrangement of the university, the makeup class on Friday and the group project oral presentation classes on the 12th and 13th week were cancelled. Details of the new assessment method will be announced shortly.

Nov 11, 2019: Make-up Lecture

Due to the cancellation of today's class, we will have a make-up class at MP Lab (YEUNG-P1402) from 3:00 to 6:00 pm on Friday, November 15, 2019.

Nov 11, 2019: Group Project Oral Presentation

  • Students are reminded to well prepare for their course project presentation on week 12 or 13 sessions for showing your finings and results within a 15-mintues oral presentation.
  • Live demonstration or video demonstration are highly encouraged.
  • All members of the project teams are required to involved in their presentation.

Nov 11, 2019: Review Exercises

Review Exercises are now available for download from here. The suggested answers will be provided on week 13.

Nov 04, 2019: Suggested Solution for the Mid-Term Exam

The suggested solution for the Mid-Term Exam will be released after the exam. Please click this link for download the suggested answers.

Nov 04, 2019: Submission of Assignment 2

This is just a friendly reminder for submitting the Assignment 2. Students are required to submit their assignment report and program in electroic format as an attachment to EE5806 course gmail account at cityuee5806@gmail.com on or before 11.00pm of 11th Nov 2019. The subject of your email should satisfy the following format:
EE5806 Assignment 2 - Student Name (Student Number)
Example: EE5806 Assignment 2 - Chan Chi Man (51234567)

Oct 28, 2019: E-Mail Submission Problems

We just realized that our course gmail account has problems communicating with mainland email services such as qqmail and 163mail. Please avoid using these email addresses to submit your assignments or reports.

In addition, we also encountered problems in replying to the email of CityU's email address @ad.cityu.edu.hk. Please use the domain name @my.cityu.edu.hk.

Course Description

In this course, students will learn the basic principles and tools on how to create, alter and store digital images and video. Students will also learn how to apply digital image processing techniques on solving practical problems of commercial and scientific interests by implementing algorithms in Python.


A picture is worth a thousand words. 『百聞不如一見』《漢書·趙充國傳》

Topics:

  • Image Acquisition
  • Image Manipulation and Enhancement
  • Image Noise Reduction and Restoration
  • Image Reconstruction from Projections
  • Morphological Image Processing
  • Image Segmentation (Edges, Line, Objects)
  • Image Transforms and Compression
  • Computer Vision: Face Recognition

Grading:

  • Assignments - 10%
  • Mid-Term Exam - 10%
  • Course Group Project - 10%
  • Final Exam - 70%

Pre-cursors:

  • MA2149 (Mathematical Analysis) or MA2170 (Linear Algebra and Multi-variable Calculus)
  • EE3210 (Signals and Systems) or EE3319 (Linear Systems and Signal Analysis) or EE5410 (Digital Signal Processing)

Instructor:

Dr. PO Lai-Man

Grader:

Mr. ZHAO Yuzhi
Mr. XIAN Pengfei

Lecture:

  • Monday, 7:00pm to 9:50pm

Venue:

  • LI Buliding, AC2, Room 3614

Level and Units:

  • P5 Level with 3 CUs

Rules:

  • Lecture attendance: Required. You are responsible for whatever is taught in the lecture and tutorial.

  • Submission of Assignments and Project Reports:
    1. Hardcopies are not required.
    2. Softcopies such as MS-Word file, Presentation, Source Code and associated files are required to send to the course gmail account before 11:00PM of the due date.
    3. EE5806 course gmail address: cityuee5806@gmail.com

  • Late Submission:
    1. Assignments and project reports mush be received by the course email account before 11:00PM on the due date.
    2. NO late homework is accepted without previous arrangement with the instructor.
    3. If approved, late homework receives 10% per business day penalty.
    4. Write your name and student number on the top right corner of the paper.
    5. Write your answers legibly and derive all of the steps to show your work clearly.
    6. No credits will be given to answers without showing the steps.
    7. Students may work together on the homework, but copying is unacceptable.

  • Cheating: In particular copying your fellow classmate's assignments or programs, is a very serious offense! If you are found cheating, you will automatically get an F grade in this course and your act will be reported to the Department for necessary disciplinary actions. Please don't let others copy your assignments or programs as we don't have a way to tell who is copying who and you may be liable to the penalties.

Department of Electronic Engineering, City University of Hong Kong