Content-based image retrieval algorithms for marine species

Ahsan Raza, Sheikh (2016) Content-based image retrieval algorithms for marine species. Masters thesis, Multimedia University.

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Official URL: http://library.mmu.edu.my/diglib/onlinedb/dig_lib....

Abstract

Malaysia has been recognized as one of the twelve nations endowed with rich biodiversity. Such huge number of species in the rain forest and sea are an important asset that needs to be properly documented. Responding to these important needs, this research is focused towards developing content-based image retrieval (CBIR) for Marine Life Images in Malaysia. This is a challenging task since the images are taken from different viewpoints, blur images and the fact that marine species do not possess consistent colour, shape and texture appearance. There are two main objectives of this study. The first objective is to investigate useful image descriptors for marine species and propose enhancement to improve the accuracy. The second objective is to develop an efficient content-based image retrieval system for marine life images.

Item Type: Thesis (Masters)
Additional Information: Call No.: ZA4575 A37 2015
Uncontrolled Keywords: Content-based image retrieval
Subjects: Z Bibliography. Library Science. Information Resources > ZA3038-5190 Information resources (General) > ZA4050-4775 Information in specific formats or media > ZA4550-4575 Motion pictures. Video recordings
Divisions: Faculty of Computing and Informatics (FCI)
Depositing User: Ms Nurul Iqtiani Ahmad
Date Deposited: 09 Jun 2016 08:31
Last Modified: 09 Jun 2016 08:31
URI: http://shdl.mmu.edu.my/id/eprint/6338

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