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SCALESPACE
2007
Springer

Level Set Methods for Watershed Image Segmentation

9 years 2 months ago
Level Set Methods for Watershed Image Segmentation
In this work a marker-controlled and regularized watershed segmentation is proposed. Only a few previous studies address the task of regularizing the obtained watershed lines from the traditional markercontrolled watershed segmentation. In the present formulation, the topographical distance function is applied in a level set formulation to perform the segmentation, and the regularization is easily accomplished by regularizing the level set functions. Based on the well-known Four-Color theorem, a mathematical model is developed for the proposed ideas. With this model, it is possible to segment any 2D image with arbitrary number of phases with as few as one or two level set functions. The algorithm has been tested on real 2D fluorescence microscopy images displaying rat cancer cells, and the algorithm has also been compared to a standard watershed segmentation as it is implemented in MATLAB. For a fixed set of markers and a fixed set of challenging images, the comparison of these two ...
Xue-Cheng Tai, Erlend Hodneland, Joachim Weickert,
Added 09 Jun 2010
Updated 09 Jun 2010
Type Conference
Year 2007
Where SCALESPACE
Authors Xue-Cheng Tai, Erlend Hodneland, Joachim Weickert, Nickolay V. Bukoreshtliev, Arvid Lundervold, Hans-Hermann Gerdes
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