Part-based multi-frame registration for estimation of the growth of cellular networks in plant roots

T.J. Roberts, S.J. McKenna, J. Hans, T.A. Valentine, A.G. Bengough

    Research output: Chapter in Book/Report/Conference proceedingChapter

    6 Citations (Scopus)

    Abstract

    Motion estimation from confocal scanning laser micro-scope images of growing plant cell structures presents interesting challenges; motion exhibits multiple local discontinuities and noise is non-isotropic and non-Gaussian. A method is presented for estimating motion of cell networks based on a physically motivated, part-based model of cell boundary structure. Each part models the shape and appearance of a localised image region and can undergo constrained non-rigid deformation. This enables motion discontinuities between parts to be modelled. Parts are coupled in order to improve localisation and increase computational efficiency. Results from applying MCMC show accurate localisation of the structure across multiple frames. The form of the model assists biologists in interpreting growth.
    Original languageEnglish
    Title of host publication18th International Conference on Pattern Recognition
    Subtitle of host publicationICPR 2006; Hong Kong; China; 20 August 2006 through 24 August 2006
    Place of PublicationCalifornia
    PublisherIEEE
    Pages378-381
    Number of pages4
    Volume2
    ISBN (Print)9780769525211
    DOIs
    Publication statusPublished - 1 Jan 2006

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  • Cite this

    Roberts, T. J., McKenna, S. J., Hans, J., Valentine, T. A., & Bengough, A. G. (2006). Part-based multi-frame registration for estimation of the growth of cellular networks in plant roots. In 18th International Conference on Pattern Recognition : ICPR 2006; Hong Kong; China; 20 August 2006 through 24 August 2006 (Vol. 2, pp. 378-381). IEEE. https://doi.org/10.1109/ICPR.2006.915