units

FIT3081

Faculty of Information Technology

18 September 2017 26 April 2024

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This unit entry is for students who completed this unit in 2016 only. For students planning to study the unit, please refer to the unit indexes in the the current edition of the Handbook. If you have any queries contact the managing faculty for your course or area of study.

Monash University

6 points, SCA Band 2, 0.125 EFTSL

Undergraduate - Unit

Refer to the specific census and withdrawal dates for the semester(s) in which this unit is offered.

Faculty

Information Technology

Offered

Not offered in 2016

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.

Outcomes

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.

Assessment

Examination (3 hours): 70%; In-semester assessment: 30%

Workload requirements

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.

See also Unit timetable information

Chief examiner(s)

Dr Anuja Dharmaratne

This unit applies to the following area(s) of study

Advanced computer science

Prerequisites

FIT2004 (or CSE2304) and FIT2014 (or CSE2303)

Prohibitions

CSE3314

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

http://www.infotech.monash.edu.au/units/