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