This unit covers fundamental techniques in image processing. Topics include image representation and enhancement, thresholding, image algebra, neighbourhood operations on images, Fourier methods, edge detection, feature extraction and representation, shape, texture, segmentation, classification, restoration, image compression, and colour and multiband image processing.
At the completion of this unit students will have -
Developed the ability to:
- understand the processes of image formation, acquisition, processing and analysis;
- develop programs for manipulating grey level, colour and multi-spectral images; and
- use standard image processing software;
- undertake computer analysis of medical, remotely-sensed, document, and other images.
Developed attitudes that enable them to:
- understand the role of visual information processing and analysis;
- apply the theory and methods in practical problem solving.
Developed the skills to:
- write programs to carry out basic image processing tasks such as image denoising, image filtering and segmentation of an image in its constituent parts or objects;
- write programs to carry out advanced image processing and analysis tasks such as image segmentation, image, image classification, image data mining, and robotic vision;
- build a software system for processing and analysis of image data.
Demonstrated the communication and teamwork skills necessary to:
- function as an image processing specialist in a group which is involved in developing a major software system;
- produce appropriate documentation.
Examination (3 hours): 70%; In-semester assessment: 30%
Minimum total expected workload equals 12 hours per week comprising:
(a.) Contact hours for on-campus students:
- Two hours of lectures
- One 2-hour laboratory
(b.) Additional requirements (all students):
- A minimum of 8 hours independent study per week for completing lab and project work, private study and revision.
FIT2004 (or CSE2304) and FIT2014 (or CSE2303)