Feature-preserving flows: A stochastic differential equation's view

G. B. Unal, H. Krim*, A. Yezzi

*Corresponding author for this work

Research output: Contribution to conferencePaperpeer-review

5 Citations (Scopus)


Evolution equations have proven to be useful in tracking fine to coarse features in a single level curve and/or in an image. In this paper, we give a stochastic insight to a specific evolution equation, namely the geometric heat equation, and subsequently use this insight to develop a class of feature-driven diffusions. A progressive smoothing along desired features of a level curve is aimed at overcoming effects of noisy environment during feature extraction and denoising applications.

Original languageEnglish
Number of pages4
Publication statusPublished - 2000
Externally publishedYes
EventInternational Conference on Image Processing (ICIP 2000) - Vancouver, BC, Canada
Duration: 10 Sept 200013 Sept 2000


ConferenceInternational Conference on Image Processing (ICIP 2000)
CityVancouver, BC


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