An application of shape-based level sets to fish detection in underwater images

M. Ravanbakhsh, M.R. Shortis, Faisal Shafait, Ajmal Mian, E.S. Harvey, J.W. Seager

    Research output: Chapter in Book/Conference paperConference paper

    Abstract

    Copyright © 2014. Underwater stereo-video technology systems are used widely for measurement of fish. However the effectiveness of the stereo-video measurement has been limited because most operational systems still rely on a human operator. In this paper, an automated approach for fish detection using a shape-based level sets framework is presented. Shape knowledge of fish is modelled by Principal Component Analysis (PCA). The Haar classifier is used for precise position of the fish head and snout in the image, which is vital information for close proximity initialisation of the shape model. The approach has been tested on under-water images representing a variety of challenging situations typical of the underwater environment, such as background interference and poor contrast boundaries. The results obtained demonstrate that the approach is capable of overcoming these limitations and capturing the fish outline at sub-pixel accuracy.
    Original languageEnglish
    Title of host publicationProceedings of the 2014 Geospatial Science Research 3 Symposium (GSR_3)
    PublisherCentral Europe Workshop Proceedings (CEUR-WS)
    Pages1-9
    Volume1307
    ISBN (Print)16130073
    Publication statusPublished - 2014
    EventAn application of shape-based level sets to fish detection in underwater images - Germany
    Duration: 1 Jan 2014 → …

    Conference

    ConferenceAn application of shape-based level sets to fish detection in underwater images
    Period1/01/14 → …

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  • Cite this

    Ravanbakhsh, M., Shortis, M. R., Shafait, F., Mian, A., Harvey, E. S., & Seager, J. W. (2014). An application of shape-based level sets to fish detection in underwater images. In Proceedings of the 2014 Geospatial Science Research 3 Symposium (GSR_3) (Vol. 1307, pp. 1-9). Central Europe Workshop Proceedings (CEUR-WS).