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Classification of Coral Reefs Components from Underwater Video Images Using Modified Canny Edge Dection with Combining features

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dc.contributor.author Ezmahamrul Afreen Bin Awalludin
dc.date.accessioned 2018-02-01T00:35:12Z
dc.date.available 2018-02-01T00:35:12Z
dc.date.issued 2016
dc.identifier.uri http://hdl.handle.net/123456789/8218
dc.description.abstract Recently, coral reef ecosystems have been degraded due to natural impacts and anthropogenic disturbances resulting in a decline of coral reef communities worldwide. The decline in coral reefs affected ecological balance between marine ecosystems as well as economical aspect especially for tourism. This threat occurs due mainly to the unplanned development activities, pollution and overfishing. To alleviate the problems faced, monitoring of coral reefs was made by recording underwater video of coral reef ecosystem. Dataset of videos and images obtained will later be analyzed in the laboratory using the Coral Point Count with Excel (CPCe) software to study the health status of the coral reefs in the surveyed area. en_US
dc.language.iso en en_US
dc.publisher Terengganu: Universiti Malaysia Terengganu en_US
dc.subject QH 96.5 .E9 2016 en_US
dc.subject Ezmahamrul Afreen Bin Awalludin en_US
dc.subject Coral reef biology -- Study and Teaching - Research en_US
dc.title Classification of Coral Reefs Components from Underwater Video Images Using Modified Canny Edge Dection with Combining features en_US
dc.type Thesis en_US


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