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.
|Title of host publication||18th International Conference on Pattern Recognition|
|Subtitle of host publication||ICPR 2006; Hong Kong; China; 20 August 2006 through 24 August 2006|
|Place of Publication||California|
|Number of pages||4|
|Publication status||Published - 1 Jan 2006|
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