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Abalone tag detection and recognition

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Gill, Harpreet Kaur (2009) Abalone tag detection and recognition. Research Master thesis, University of Tasmania.

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Abstract

In recent years, there have been serious concerns about the declining stocks of wild
abalone combined with a rapidly increasing market demand and so aquaculture
researchers are continuously investing in new methods for growing and monitoring
cultured abalone. There are a number of new programs that have been planned for
farmed abalone, such as selective breeding and genetic manipulation to meet world
demand.
These methods can only be successful if abalone traits and behaviour can be
identified properly. Therefore, physical tagging of abalone shells and DNA
(Deoxyribonucleic Acid) pedigree markers have been developed to enable tracking
and tracing of individuals. Researchers are continually finding more effective
methods of physical tagging so that tags can be visualised more readily and will be
retained on the abalone shell for a longer period of time. Identifying the tag and
character information is also time and labour intensive. Therefore, automated image
analysis of abalone tags may provide a solution for tracking abalone and for
identifying abalone behaviour and pedigree information. After reviewing the broad
field of computer vision, an image processing system was developed in MATLAB
using appropriate image analysis and processing techniques, to automate the process
of extracting sub-images of physical tags attached to the abalone shells, in
preparation for input to an optical character recognition system, which would read
the tags on the shells.
The image processing system developed was able to successfully identify a number
of tags from digital images directly taken from land-based tanks on various abalone
farms; tag colour and character recognition was achieved. In addition, this research will help aquaculture researchers to study abalone movement, behaviour and
performance traits in a cultured environment.

Item Type: Thesis (Research Master)
Copyright Holders: The Author
Copyright Information:

Copyright 2009 the Author - The University is continuing to endeavour to trace the copyright
owner(s) and in the meantime this item has been reproduced here in good faith. We
would be pleased to hear from the copyright owner(s).

Additional Information:

Available for use in the Library and copying in accordance with the Copyright Act 1968, as amended. Thesis (MComp)--University of Tasmania, 2009. Includes bibliographical references

Date Deposited: 09 Dec 2014 00:14
Last Modified: 16 Sep 2016 04:35
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