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Location Domestic International
Gold Coast
Term3
Term3
Online
Term3
N/A

Unit Summary

Unit type

PG Coursework Unit

Credit points

12

Unit aim

Focuses on computer vision methods and techniques in contemporary expert/intelligent systems. Students will learn various image pre-processing, feature extraction, segmentation and classification algorithms and apply them to solve real-world computer vision problems. This unit provides students with in-depth understanding of computer vision and artificial intelligence technologies behind contemporary expert/intelligent systems.

Unit content

1. Introduction to image processing and computer vision

2. Image pre-processing techniques

3. Feature extraction methods

4. Object detection and classification

5. Image segmentation

6. Computer vision systems in smart environments

Learning outcomes

Unit Learning Outcomes express learning achievement in terms of what a student should know, understand and be able to do on completion of a unit. These outcomes are aligned with the graduate attributes. The unit learning outcomes and graduate attributes are also the basis of evaluating prior learning.

On completion of this unit, students should be able to:
1 analyse and apply appropriate image pre-processing algorithms to a real-world image processing/pattern recognition problem.
2 develop and apply suitable feature extraction methods to characterise images.
3 implement appropriate object detection and classification techniques.
4 build image segmentation and classification solutions.

On completion of this unit, students should be able to:

  1. analyse and apply appropriate image pre-processing algorithms to a real-world image processing/pattern recognition problem.
  2. develop and apply suitable feature extraction methods to characterise images.
  3. implement appropriate object detection and classification techniques.
  4. build image segmentation and classification solutions.

Prescribed texts

  • No prescribed texts.
Prescribed texts may change in future teaching periods.