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    Biodiversity image retrieval framework for monogeneans

    Access Status
    Fulltext not available
    Authors
    Abu, Arpah
    Lim, Lee Hong
    Sidhu, Amandeep
    Dhillon, Sarinder
    Date
    2013
    Type
    Journal Article
    
    Metadata
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    Citation
    Abu, 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.
    Source Title
    Systematics and Biodiversity
    DOI
    10.1080/14772000.2012.761655
    ISSN
    1477-2000
    School
    Sarawak Malaysia
    URI
    http://hdl.handle.net/20.500.11937/46772
    Collection
    • Curtin Research Publications
    Abstract

    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.

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