DMCA
Medical image segmentation via coupled curve evolution equations with global constraints (2000)
| Venue: | IEEE Workshop On Mathematical Methods in Biomedical Image Analysis |
| Citations: | 19 - 4 self |
Citations
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Citation Context ...extremely small regions due to noise in order to fully separate the interior and exterior means, causing the contour to appear fractal. To counter such eects, we follo w the lead of Mumford and Shah =-=[5]-=- by adding to our functional (1) a penalty on the arclength of the curve. E = 1 2 (u v) 2 + Z ~ C ds (4) Incorporating such a geometric constraint has the effect of regularizing the evolution thr... |
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Citation Context ...nake algorithms, the tec hnique in [10, 11] employs an independent set of curves for each region-type to be captured in the image. This facilitates the level set implementation (see Osher and Sethian =-=[6, 9]-=- and the references therein) used by the authors by allo wing a separate lev el set This work w as supported by ONR grant N00014-91-J-1004, by subcontract GC123919NGD from Boston University under th... |
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A Statistical Approach to Image Segmentation for Bimodal and T rimodal Imagery," Pr oceedingsof ICCV
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Citation Context ... image. However, by imposing a new constraint on the evolution of these statistics, we are able to segment a larger class of medical imagery for which our original model would fail. 1 Introduction In =-=[10, 11]-=-, the authors outlined a fully global, coupled curve evolution approach to image segmentation for images consisting of a kno wnnumber of regions distinguishable by a given set of statistics. This work... |
| 3 |
Fully Global, Coupled Curve Evolution Equations for Image Segmentation
- Yezzi, Tsai, et al.
- 1999
(Show Context)
Citation Context ... image. However, by imposing a new constraint on the evolution of these statistics, we are able to segment a larger class of medical imagery for which our original model would fail. 1 Introduction In =-=[10, 11]-=-, the authors outlined a fully global, coupled curve evolution approach to image segmentation for images consisting of a kno wnnumber of regions distinguishable by a given set of statistics. This work... |
| 1 | Deformable Boundary Finding in Medical Images by In tegrating Gradient and Region Information - Chakraborty, Staib, et al. - 1996 |
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ese, \Active con tours without edges," UCLA T ehcnicalReport sumbitted to
- Chan, V
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Citation Context ...lobal, coupled curve evolution approach to image segmentation for images consisting of a kno wnnumber of regions distinguishable by a given set of statistics. This work, along with the recent work in =-=[2, 7]-=-, enjo yed theadvan tage shared by many region-based approaches to snakes [1, 7, 8, 12 ] of being less sensitiv e to noise than most edge-based approaches by avoiding dierential operators to detect e... |
| 1 |
F ron tspropagation with curvature dependent speed: Algorithms based on Hamilton-Jacobi formulations
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(Show Context)
Citation Context ...nake algorithms, the tec hnique in [10, 11] employs an independent set of curves for each region-type to be captured in the image. This facilitates the level set implementation (see Osher and Sethian =-=[6, 9]-=- and the references therein) used by the authors by allo wing a separate lev el set This work w as supported by ONR grant N00014-91-J-1004, by subcontract GC123919NGD from Boston University under th... |
| 1 |
Geodesic Active Regions for T extureSegmentation," Research Report 3440
- Paragios, Deriche
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(Show Context)
Citation Context ...lobal, coupled curve evolution approach to image segmentation for images consisting of a kno wnnumber of regions distinguishable by a given set of statistics. This work, along with the recent work in =-=[2, 7]-=-, enjo yed theadvan tage shared by many region-based approaches to snakes [1, 7, 8, 12 ] of being less sensitiv e to noise than most edge-based approaches by avoiding dierential operators to detect e... |
| 1 | Region Competition: Unifying snak es,Region Growing, and Bayes/MDL for Multiband Image Segmentation - Zhu, Yuille - 1996 |
