ECE 533 Class Project Guideline

The project may be a 2-person team project or a single person (solo) project. The maximum grade of the project is 100 points and it will be counted toward 15% of the grade of this course. A project proposoal will be handed in for instructor approval. An on-line presentation will be submitted through web page, and a hardcopy final report is required. Depending on available lecture hours, the last week of the semester may be reserved for in-class project presentation.

Team

Each project team will consist of one or two students. For a two-person team, it is expected each team member will contribute equal amount of efforts in all parts of this project; and the amount of work should justify as a two-person project. Often a team (2-person) project may involve significant amount of coding, data processing, and related tasks in addition to the usual analysis, simulation, as well as report writing.

In the written project report, each team must include a "task assignment" page at the end of the report detailing the tasks performed for this project, and each team member's percentage contribution to each task. Failure to turn in this page will results in 5 points deduction of the project grade. In a two-person team, if each member contribute roughly the same amount of efforts, the same grade will be assigned to both members.

Purpose

The purpose of the project component of this course is to demonstrate your ability to apply the knowledge and technique learned during this course. Hence, in selecting project topics, you must specify which part of the course materials, or advanced topics that are relevant to the course materials that can be applied toward the project.

Types of Projects

• Advanced image processing algorithm implementation -- Develop a software package implementing a particular image processing algorithm. The type of algorithms should not be duplicate of well known algorithms that can be found in Matlab image processing toolbox or other image software packages. It is expected proper documentation will be needed. Source code must be provided in C, C++, Java, or Matlab Mfiles. The program must run without syntax error, and a demonstration of several test problems must be included.
  Here is a list of possible algorithms to choose from.
• Applications -- Applications of image processing to specific research area can be used as class project too. In an applicaiton project, it should contain the following: (a) explanation of the nature of the application and why image processing is needed, (b) image processing techniques that can be applied to the problem on hand, (c) preliminary results. You should have results ready and report it. Just propose to apply image processing without any result is not acceptable.
• Examples -- Previously semester's class project, as posted in the web site can be used as examples. Projects that are very similar to those in the previous semesters are expected to demonstrate substantial improvement or advancement in terms of results to distinquish itself with the prior work.

Test Images

Activities

• Proposal -- One page proposal describing the problem, the proposed approach, and at least two references other than text book or class notes. The proposal must also specify the team members.
• On-line Project Presentation -- Each project is to be presented using powerpoint, and the file will have to be submitted to be published on course web site. In addition, in-class presentation may be scheduled. If so, it will be announced two to three weeks prior to the end of the semester.
• Final Project Report -- Must be submitted in both hard copy and electronic copy. The hard copy should be typed and bounded. The electronic copy should be in a zip file consisting all program source code and report itself.

Format of Final Report

• Introduction (Problem statement, Motivation)
• Approach
• Work Performed (Experiments, software programming, etc.)
• Results
• Discussion
• A table listing tasks performed in the project and the percentage contributions by each team member of individual tasks, as well as overall project. A sample will be given. Both team members must sign this table.

References

• Image enhancement
• Image restoration
• Image segmentation
• Image Compression