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Leader(s): Dr Sid Ray

Offered

Clayton Second semester 2009 (Day)
Sunway First semester 2009 (Day)

Synopsis

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.

Objectives

At the completion of this unit students will be able to:

1. understand the processes of image formation, acquisition, processing and analysis;
2. develop programs for manipulating grey level, colour and multi-spectral images;
3. use standard image processing software;
4. undertake computer analysis of medical, remotely-sensed, document, and other images;
5. 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;
6. write programs to carry out advanced image processing and analysis tasks such as image segmentation, image, image classification, image data mining, and robotic vision;
7. build a software system for processing and analysis of image data;
8. function as an image processing specialist in a group which is involved in developing a major software system;
9. produce appropriate documentation.

At the completion of this unit, students will have attitudes that will allow them to:

1. understand the role of visual information processing and analysis;
2. apply the theory and methods in practical problem solving.

Assessment

Examination 70%, Assignments 30%

Contact hours

Two x1-hour lectures/week

Prerequisites

FIT2004 or CSE2304 (or equivalent) and FIT2014 or CSE2303 (or equivalent).

Prohibitions

CSC3140, CSE3314, PHS2431

Additional information on this unit is available from the faculty at:

http://www.infotech.monash.edu.auu/units/fit3081