This paper aims at segmenting objects of interest based on shape contours and automatically finding multiple objects with different scales.

The overall strategy of this work is to combine nonlinear segmentation with scales spaces and spectral decompositions. We generalize a variational segmentation ...

Abstract. In biomedical imaging reliable segmentation of objects (e.g., from small cells up to large organs) is of fundamental importance for automated ...

The overall strategy of this work is to combine nonlinear segmentation with scales spaces and spectral decompositions. We generalize a variational segmentation ...

A very efficient, (nearly) parameter-free multiscale segmentation method that comes with an adaptive regularization parameter choice is obtained and its ...

Oct 3, 2016 · Abstract. In biomedical imaging reliable segmentation of objects (e.g. from small cells up to large organs) is of fundamental importance for ...

Feb 8, 2017 · This paper aims at segmenting objects of interest based on shape contours and automatically finding multiple objects with different scales.

2017. Multiscale Segmentation via Bregman Distances and Nonlinear Spectral Analysis. L Zeune, G van Dalum, LWMM Terstappen, SA van Gils, C Brune. SIAM Journal ...

The overall strategy of this work is to combine nonlinear segmentation with scales spaces and spectral decompositions. We generalize a variational segmentation ...

In [19] , the authors present a multiscale segmentation method for circulating tumour cells, where they are able to detect cells of different sizes. Using our ...