Automatic classification and recognition of coral reefs from underwater video images
This thesis presents a new approach to automate the classification and estimation of coral reef based on computer vision techniques by performing classification and recognition on digitized video obtained from surrounding reef ecosystem. By knowing the state of the coral reefs, marine scientist ca...
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Fakulti Sains dan Teknologi
2011
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Online Access: | http://hdl.handle.net/123456789/744 |
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my.umt.ir-7442016-03-10T03:45:29Z Automatic classification and recognition of coral reefs from underwater video images Leng, Wong Siew QH 541.5 .C7 L4 2006 Leng, Wong Siew Automatic classification and recognition of coral reefs from underwater video images Coral reefs This thesis presents a new approach to automate the classification and estimation of coral reef based on computer vision techniques by performing classification and recognition on digitized video obtained from surrounding reef ecosystem. By knowing the state of the coral reefs, marine scientist can predict fish yield or determine how the reef system is coping with the environment in a less tedious and less time consuming way. In this project, the objective is to classify and recognize a predetermined reef benthos groups. These groups are alive coral, dead coral, sand and rubble. As for the alive coral group, possible higher level of taxonomic classification is performed to discriminate the classes of branching, digitate and tabulate solely based on digital video recording. 2011-05-31T07:54:41Z 2011-05-31T07:54:41Z 2006-10 Thesis http://hdl.handle.net/123456789/744 en application/pdf application/pdf Fakulti Sains dan Teknologi |
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Universiti Malaysia Terengganu |
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QH 541.5 .C7 L4 2006 Leng, Wong Siew Automatic classification and recognition of coral reefs from underwater video images Coral reefs |
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QH 541.5 .C7 L4 2006 Leng, Wong Siew Automatic classification and recognition of coral reefs from underwater video images Coral reefs Leng, Wong Siew Automatic classification and recognition of coral reefs from underwater video images |
description |
This thesis presents a new approach to automate the classification and estimation of
coral reef based on computer vision techniques by performing classification and
recognition on digitized video obtained from surrounding reef ecosystem. By knowing the state of the coral reefs, marine scientist can predict fish yield or determine how the
reef system is coping with the environment in a less tedious and less time consuming
way. In this project, the objective is to classify and recognize a predetermined reef
benthos groups. These groups are alive coral, dead coral, sand and rubble. As for the alive coral group, possible higher level of taxonomic classification is performed to
discriminate the classes of branching, digitate and tabulate solely based on digital video recording. |
format |
Thesis |
author |
Leng, Wong Siew |
author_facet |
Leng, Wong Siew |
author_sort |
Leng, Wong Siew |
title |
Automatic classification and recognition of coral reefs from underwater video images |
title_short |
Automatic classification and recognition of coral reefs from underwater video images |
title_full |
Automatic classification and recognition of coral reefs from underwater video images |
title_fullStr |
Automatic classification and recognition of coral reefs from underwater video images |
title_full_unstemmed |
Automatic classification and recognition of coral reefs from underwater video images |
title_sort |
automatic classification and recognition of coral reefs from underwater video images |
publisher |
Fakulti Sains dan Teknologi |
publishDate |
2011 |
url |
http://hdl.handle.net/123456789/744 |
_version_ |
1738395544386011136 |
score |
13.160551 |