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Enhanced and automated approaches for fish recognition and classification system

Pengecaman dan pengelasan imej ikan dengan darjah ketepatan dan kecekapan yang tinggi boleh menjadi satu tugas yang sukar kerana ikan mempunyai persamaan yang sangat tinggi dengan latar belakangnya, kehilangan beberapa ciri ikan, dan kos komputan yang tinggi. Recognition and classification of fi...

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Main Author: Samma, Ali Salem Ali
Format: Thesis
Language:English
Published: 2011
Subjects:
QA75.5-76.95 Electronic computers. Computer science
Online Access:http://eprints.usm.my/43123/1/Pages_from_ENHANCED_AND_AUTOMATED.pdf
http://eprints.usm.my/43123/
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spelling my.usm.eprints.43123 http://eprints.usm.my/43123/ Enhanced and automated approaches for fish recognition and classification system Samma, Ali Salem Ali QA75.5-76.95 Electronic computers. Computer science Pengecaman dan pengelasan imej ikan dengan darjah ketepatan dan kecekapan yang tinggi boleh menjadi satu tugas yang sukar kerana ikan mempunyai persamaan yang sangat tinggi dengan latar belakangnya, kehilangan beberapa ciri ikan, dan kos komputan yang tinggi. Recognition and classification of fish images with high degree of accuracy and efficiency can be a difficult task due to fish being very similar to the background, missing of some features and high cost of computation. 2011-06 Thesis NonPeerReviewed application/pdf en http://eprints.usm.my/43123/1/Pages_from_ENHANCED_AND_AUTOMATED.pdf Samma, Ali Salem Ali (2011) Enhanced and automated approaches for fish recognition and classification system. PhD thesis, Universiti Sains Malaysia.
institution Universiti Sains Malaysia
building Hamzah Sendut Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Sains Malaysia
content_source USM Institutional Repository
url_provider http://eprints.usm.my/
language English
topic QA75.5-76.95 Electronic computers. Computer science
spellingShingle QA75.5-76.95 Electronic computers. Computer science
Samma, Ali Salem Ali
Enhanced and automated approaches for fish recognition and classification system
description Pengecaman dan pengelasan imej ikan dengan darjah ketepatan dan kecekapan yang tinggi boleh menjadi satu tugas yang sukar kerana ikan mempunyai persamaan yang sangat tinggi dengan latar belakangnya, kehilangan beberapa ciri ikan, dan kos komputan yang tinggi. Recognition and classification of fish images with high degree of accuracy and efficiency can be a difficult task due to fish being very similar to the background, missing of some features and high cost of computation.
format Thesis
author Samma, Ali Salem Ali
author_facet Samma, Ali Salem Ali
author_sort Samma, Ali Salem Ali
title Enhanced and automated approaches for fish recognition and classification system
title_short Enhanced and automated approaches for fish recognition and classification system
title_full Enhanced and automated approaches for fish recognition and classification system
title_fullStr Enhanced and automated approaches for fish recognition and classification system
title_full_unstemmed Enhanced and automated approaches for fish recognition and classification system
title_sort enhanced and automated approaches for fish recognition and classification system
publishDate 2011
url http://eprints.usm.my/43123/1/Pages_from_ENHANCED_AND_AUTOMATED.pdf
http://eprints.usm.my/43123/
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score 13.160551

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