Automatic classification and recognition of coral reefs from underwater video images

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dc.contributor.authorLeng, Wong Siew
dc.date.accessioned2011-05-31T07:54:41Z
dc.date.available2011-05-31T07:54:41Z
dc.date.issued2006-10
dc.description.abstractThis 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.en_US
dc.identifier.urihttp://hdl.handle.net/123456789/744
dc.language.isoenen_US
dc.publisherFakulti Sains dan Teknologien_US
dc.subjectQH 541.5 .C7 L4 2006en_US
dc.subjectLeng, Wong Siewen_US
dc.subjectAutomatic classification and recognition of coral reefs from underwater video imagesen_US
dc.subjectCoral reefsen_US
dc.titleAutomatic classification and recognition of coral reefs from underwater video imagesen_US
dc.typeThesisen_US
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