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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Main Author:	Leng, Wong Siew
Format:	Thesis
Language:	English
Subjects:	QH 541.5 .C7 L4 2006 Automatic classification and recognition of coral reefs from underwater video images Coral reefs
Online Access:	http://umt-ir.umt.edu.my:8080/jspui/bitstream/123456789/744/1/QH%20541.5%20.C7%20L4%202006%20Abstract.pdf http://umt-ir.umt.edu.my:8080/jspui/bitstream/123456789/744/2/QH%20541.5%20.C7%20L4%202006%20FullText.pdf
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id	my-umt-ir.-744
record_format	uketd_dc
spelling	my-umt-ir.-7442016-03-10T03:45:29Z Automatic classification and recognition of coral reefs from underwater video images Leng, Wong Siew 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. Fakulti Sains dan Teknologi 2006-10 Thesis en http://hdl.handle.net/123456789/744 http://umt-ir.umt.edu.my:8080/jspui/bitstream/123456789/744/1/QH%20541.5%20.C7%20L4%202006%20Abstract.pdf 849f9beae3a8f2965c0fa0e5f9aa36c4 http://umt-ir.umt.edu.my:8080/jspui/bitstream/123456789/744/2/QH%20541.5%20.C7%20L4%202006%20FullText.pdf ad3e46ece7ac6871345b9b527212ecf7 http://umt-ir.umt.edu.my:8080/jspui/bitstream/123456789/744/3/license.txt ecca7a0b60eabbf88d99eae3662e2d50 http://umt-ir.umt.edu.my:8080/jspui/bitstream/123456789/744/4/QH%20541.5%20.C7%20L4%202006%20Abstract.pdf.txt 594f14cafd7d867003ebc8cc23aa63d4 http://umt-ir.umt.edu.my:8080/jspui/bitstream/123456789/744/5/QH%20541.5%20.C7%20L4%202006%20FullText.pdf.txt f2be51505952b6d67f111a72b426125b QH 541.5 .C7 L4 2006 Leng, Wong Siew Automatic classification and recognition of coral reefs from underwater video images Coral reefs
institution	Universiti Malaysia Terengganu
collection	UMT Repository System
language	English
topic	QH 541.5 .C7 L4 2006 QH 541.5 .C7 L4 2006 Automatic classification and recognition of coral reefs from underwater video images Coral reefs
spellingShingle	QH 541.5 .C7 L4 2006 QH 541.5 .C7 L4 2006 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
granting_institution	Fakulti Sains dan Teknologi
url	http://umt-ir.umt.edu.my:8080/jspui/bitstream/123456789/744/1/QH%20541.5%20.C7%20L4%202006%20Abstract.pdf http://umt-ir.umt.edu.my:8080/jspui/bitstream/123456789/744/2/QH%20541.5%20.C7%20L4%202006%20FullText.pdf
_version_	1747835877024858112

Automatic classification and recognition of coral reefs from underwater video images

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