Image Processing Projects

Project Guidelines

• The project element of this module is worth 30 % of the overall module mark.
• Projects will be run in groups of a maximum of 3 students.
• The projects will require research into an area of computer vision and implementation of an algorithm design in Python with OpenCV.
• Algorithms will be demonstrated on a specific image but should be designed in a general way so they will work on similar images.
• All designs should aim to be as automated as possible.
• The Python code (py-file) must be submitted through Brightspace by the due date.
• Code must be commented in detail, explaining both the code itself and the algorithm behind it.
• A project blog is to be maintained by each student individually and will be assessed as part of the project.
• The projects will be presented by each group to the class at the end of the module.
• Projects will be assessed by you, your peers and your lecturer.

Project Marking

The marks for the project will breakdown as follows:

• Research: 25 %
• Design: 25 %
• Presentation: 25 %
• Management: 25 %

Plagiarised work will receive a zero mark.

Project Ideas

Here's a list of project ideas you might like to consider. Click on any of the project images to download the related files.

Better still - choose your own! For this you will need a topic, a simple objective and sample image(s). Check in with Jack or Jane for help with this.