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» Level Set Methods for Watershed Image Segmentation
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ICCV
2009
IEEE
15 years 1 months ago
Convex Multi-Region Segmentation on Manifolds
In this paper, we address the problem of segmenting data defined on a manifold into a set of regions with uniform properties. In particular, we propose a numerical method when the ...
Amaël Delaunoy, Ketut Fundana, Emmanuel Prados, A...
BILDMED
2008
176views Algorithms» more  BILDMED 2008»
13 years 10 months ago
Edge-Preserving Denoising for Segmentation in CT-images
In the clinical environment the segmentation of organs is an increasingly important application and used, for example, to restrict the perfusion analysis to a certain organ. In ord...
Eva Eibenberger, Anja Borsdorf, Andreas Wimmer, Jo...
BMCBI
2010
218views more  BMCBI 2010»
13 years 6 months ago
A hybrid blob-slice model for accurate and efficient detection of fluorescence labeled nuclei in 3D
Background: To exploit the flood of data from advances in high throughput imaging of optically sectioned nuclei, image analysis methods need to correctly detect thousands of nucle...
Anthony Santella, Zhuo Du, Sonja Nowotschin, Anna-...
ACCV
2007
Springer
14 years 3 months ago
Object Detection Combining Recognition and Segmentation
Abstract. We develop an object detection method combining top-down recognition with bottom-up image segmentation. There are two main steps in this method: a hypothesis generation s...
Liming Wang, Jianbo Shi, Gang Song, I-fan Shen
CVPR
2010
IEEE
14 years 5 months ago
Finding Dots: Segmentation as Popping out Regions from Boundaries
Many applications need to segment out all small round regions in an image. This task of finding dots can be viewed as a region segmentation problem where the dots form one regio...
Elena Bernardis, Stella Yu