Open AccessImage processing via level set curvature flow.
Author(s) -
R. Malladi,
James A. Sethian
Publication year - 1995
Publication title -
proceedings of the national academy of sciences of the united states of america
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 5.011
H-Index - 771
eISSN - 1091-6490
pISSN - 0027-8424
DOI - 10.1073/pnas.92.15.7046
Subject(s) - curvature , smoothing , mean curvature flow , image (mathematics) , interpretation (philosophy) , set (abstract data type) , image processing , flow (mathematics) , scheme (mathematics) , computer science , algorithm , mathematics , mathematical optimization , artificial intelligence , mathematical analysis , geometry , mean curvature , computer vision , programming language
We present a controlled image smoothing and enhancement method based on a curvature flow interpretation of the geometric heat equation. Compared to existing techniques, the model has several distinct advantages. (i) It contains just one enhancement parameter. (ii) The scheme naturally inherits a stopping criterion from the image; continued application of the scheme produces no further change. (iii) The method is one of the fastest possible schemes based on a curvature-controlled approach.