31256 Image Processing and Pattern Recognition6cp; Forms of attendance and mode of delivery in this subject have changed to enable social distancing and reduce the risks of spreading COVID-19 in our community.
Requisite(s): 48024 Applications Programming
These requisites may not apply to students in certain courses. See access conditions.
Images and videos contain enormous amounts of information that can be extracted automatically by means of image processing and pattern recognition techniques. The extracted information is at the basis of many innovative applications such as video surveillance, diagnosis from medical images, automatic indexing and retrieval of multimedia data, human-computer interaction. This subject gives students the ability to understand the principles of image processing and pattern recognition and develop software for the automatic analysis and interpretation of images and videos.
The goal of this subject is to teach skills used by professional engineers working at developing image processing and computer vision products, services and solutions. During the project students apply the knowledge they have gained to scope, solve, test and communicate a solution to a real-world image processing problem in a collaborative team-based environment. Examples include detection of people and objects in video surveillance, automated diagnosis from medical images, and detection and recognition of faces in imagery.
Spring session, City campus
Detailed subject description.
Information to assist with determining the applicable fee type can be found at Understanding fees.
- Commonwealth-supported students: view subject fees at Fees Search: Commonwealth-supported
- Postgraduate domestic fee-paying students: fees are charged according to the course enrolled in; refer to Domestic Fees Search: Postgraduate and Research
- International students: fees are charged according to the course enrolled in; refer to International Fees Search
- Subject EFTSL: 0.125