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ICCV
1998
IEEE
14 years 9 months ago
Sectored Snakes: Evaluating Learned-Energy Segmentations
We describe how to teach deformable models to maximize image segmentation correctness based on user-specified criteria, and we present a method for evaluating which criteria work ...
Samuel D. Fenster, John R. Kender
CVPR
2009
IEEE
15 years 2 months ago
Multiphase Geometric Couplings for the Segmentation of Neural Processes
The ability to constrain the geometry of deformable models for image segmentation can be useful when information about the expected shape or positioning of the objects in a scene i...
Amelio Vázquez Reina, Eric Miller, Hanspete...
IPMI
2003
Springer
14 years 18 days ago
Neighbor-Constrained Segmentation with 3D Deformable Models
A novel method for the segmentation of multiple objects from 3D medical images using inter-object constraints is presented. Our method is motivated by the observation that neighbor...
Jing Yang, Lawrence H. Staib, James S. Duncan
CVPR
2010
IEEE
14 years 3 months ago
Context-Constrained Hallucination for Image Super-Resolution
This paper proposes a context-constrained hallucination approach for image super-resolution. Through building a training set of high-resolution/low-resolution image segment pairs,...
Jian Sun, Jiejie Zhu, Marshall Tappen
ISVC
2007
Springer
14 years 1 months ago
Image and Volume Segmentation by Water Flow
Abstract. A general framework for image segmentation is presented in this paper, based on the paradigm of water flow. The major water flow attributes like water pressure, surface t...
Xin U. Liu, Mark S. Nixon