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Literature DB >> 7624367

Image processing via level set curvature flow.

Abstract

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.

Mesh：

Year: 1995 PMID： 7624367 PMCID： PMC41468 DOI： 10.1073/pnas.92.15.7046

Source DB: PubMed Journal: Proc Natl Acad Sci U S A ISSN： 0027-8424 Impact factor: 11.205

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Authors: D Marr; E Hildreth
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5. A comprehensive pipeline for multi-resolution modeling of the mitral valve: Validation, computational efficiency, and predictive capability.

Authors: Andrew Drach; Amir H Khalighi; Michael S Sacks
Journal: Int J Numer Method Biomed Eng Date: 2017-09-05 Impact factor: 2.747

Image processing via level set curvature flow.

1. Theory of edge detection.

1. A fast marching level set method for monotonically advancing fronts.

2. Spatial reduction algorithm for atmospheric chemical transport models.

3. Myocardial perfusion: near-automated evaluation from contrast-enhanced MR images obtained at rest and during vasodilator stress.

4. An O(N log N) algorithm for shape modeling.

5. A comprehensive pipeline for multi-resolution modeling of the mitral valve: Validation, computational efficiency, and predictive capability.

6. Anatomy-based algorithm for automatic segmentation of human diaphragm in noncontrast computed tomography images.

7. A Multi-Compartment Segmentation Framework With Homeomorphic Level Sets.

8. Efficient workflow for automatic segmentation of the right heart based on 2D echocardiography.

9. Mitral Valve Chordae Tendineae: Topological and Geometrical Characterization.

10. Rapid 3-D delineation of cell nuclei for high-content screening platforms.