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TIP
2010
277views more  TIP 2010»
12 years 11 months ago
Distance Regularized Level Set Evolution and Its Application to Image Segmentation
Level set methods have been widely used in image processing and computer vision. In conventional level set formulations, the level set function typically develops irregularities du...
Chunming Li, Chenyang Xu, Changfeng Gui, Martin D....
ISBI
2004
IEEE
14 years 5 months ago
Differentiable Minimin Shape Distance For Incorporating Topological Priors in Biomedical Imaging
In the application of curve evolution and level set methods to biomedical image analysis, the incorporation of geometric priors for isolated shapes has been proved useful. On the ...
Yonggang Shi, William Clement Karl
SMI
2006
IEEE
134views Image Analysis» more  SMI 2006»
13 years 10 months ago
Evolution of T-Spline Level Sets with Distance Field Constraints for Geometry Reconstruction and Image Segmentation
We study the evolution of T-spline level sets (i.e, implicitly defined T-spline curves and surfaces). The use of T-splines leads to a sparse representation of the geometry and al...
Huaiping Yang, Matthias Fuchs, Bert Jüttler, ...
ICIP
2003
IEEE
14 years 6 months ago
Wavelet-based level set evolution for classification of textured images
We present a supervised classification model based on a variational approach. This model is specifically devoted to textured images. We want to get a partition of an image, compos...
Jean-François Aujol, Gilles Aubert, Laure B...
TIP
2008
168views more  TIP 2008»
13 years 4 months ago
A Real-Time Algorithm for the Approximation of Level-Set-Based Curve Evolution
Abstract--In this paper, we present a complete and practical algorithm for the approximation of level-set-based curve evolution suitable for real-time implementation. In particular...
Yonggang Shi, William Clement Karl