Stochastic Watershed : A Comparison of Different Seeding Methods

We study modifications to the novel stochastic watershed method for segmentation of digital images. This is a stochastic version of the original watershed method which is repeatedly realized in order to create a probability density function for the segmentation. The study is primarily done on synthe...

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Bibliographic Details
Main Authors: Gustavsson, Kenneth, Bengtsson Bernander, Karl
Format: Others
Language:English
Published: Uppsala universitet, Institutionen för teknikvetenskaper 2012
Subjects:
Online Access:http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-176639