Towards the automatic reconstruction of dendritic trees using particle filtersMyatt, D. R., Nasuto, S. J. and Maybank, S. J. (2006) Towards the automatic reconstruction of dendritic trees using particle filters. In: NSSPW: Nonlinear Statistical Signal Processing Workshop - Classical, Unscented and Particle Filtering Methods. IEEE, pp. 193-196. ISBN 9781424405794 Full text not archived in this repository. It is advisable to refer to the publisher's version if you intend to cite from this work. See Guidance on citing. Abstract/SummaryThe 3D reconstruction of a Golgi-stained dendritic tree from a serial stack of images captured with a transmitted light bright-field microscope is investigated. Modifications to the bootstrap filter are discussed such that the tree structure may be estimated recursively as a series of connected segments. The tracking performance of the bootstrap particle filter is compared against Differential Evolution, an evolutionary global optimisation method, both in terms of robustness and accuracy. It is found that the particle filtering approach is significantly more robust and accurate for the data considered.
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