Home
Uni-Logo
 

Accurate Detection in Volumetric Images using Elastic Registration based Validation

Dominic Mai, J. Dürr, K. Palme, Olaf Ronneberger
German Conference on Pattern Recognition (GCPR): 453--463, 2014
Download the publication : main96.pdf [1.8Mo]  

    Publisher's link :

Abstract: In this paper, we propose a method for accurate detection and segmentation of cells in dense plant tissue of Arabidopsis Thaliana. We build upon a system that uses a top down approach to yield the cell segmentations: A discriminative detection is followed by an elastic alignment of a cell template. While this works well for cells with a distinct appearance, it fails once the detection step cannot produce reliable initializations for the alignment. We propose a validation method for the aligned cell templates and show that we can thereby increase the average precision substantially.

Images and movies

 

BibTex references

@InProceedings{MR14a,
  author       = "D. Mai and J. Dürr and K. Palme and O. Ronneberger",
  title        = "Accurate Detection in Volumetric Images using Elastic Registration based Validation",
  booktitle    = "German Conference on Pattern Recognition (GCPR)",
  pages        = "453--463",
  year         = "2014",
  url          = "http://lmb.informatik.uni-freiburg.de//Publications/2014/MR14a"
}

Other publications in the database