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dc.contributor.authorAbu, Arpah
dc.contributor.authorLim, Lee Hong
dc.contributor.authorSidhu, Amandeep
dc.contributor.authorDhillon, Sarinder
dc.identifier.citationAbu, Arpah and Lim, Lee, S.L. Hong and Sidhu, Amandeep and Dhillon, Sarinder. 2013. Biodiversity image retrieval framework for monogeneans. Systematics and Biodiversity 11 (1): 19-33.

In this paper, we propose a framework for Biodiversity Image Retrieval using Content Based Image Retrieval (CBIR) and structured vocabulary. The monogenean images used in this paper belong to the order Dactylogyridea Bychowsky, 1937. We use illustrations of monogenean haptoral bar diagnostic hard part to demonstrate how textual and content-based information can be integrated in building a better retrieval system. In this approach, an ontology-based image annotation and retrieval is developed to support the CBIR. Using ontology in combination with CBIR reduces the number of images needed in the training set, utilizing the provided user parameters. Efficiency of retrieval of the proposed approach is calculated using the relevance ranking and classification error rate of the retrieved images; and the efficiency of overall retrieval performance.

dc.publisherTaylor & Francis Group
dc.subjectimage illustrations
dc.subjectbiodiversity image retrieval
dc.subjectcontent-based image retrieval
dc.titleBiodiversity image retrieval framework for monogeneans
dc.typeJournal Article
dcterms.source.titleSystematics and Biodiversity
curtin.departmentSarawak Malaysia
curtin.accessStatusFulltext not available

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