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» Constrained image segmentation from hierarchical boundaries
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ICASSP
2011
IEEE
12 years 8 months ago
An atlas-based deep brain structure segmentation method: from coarse positioning to fine shaping
Segmentation of deep brain structures is a challenging task for MRI images due to blurry structure boundaries, small object size and irregular shapes. In this paper, we present a ...
Yishan Luo, Albert C. S. Chung
PCM
2004
Springer
153views Multimedia» more  PCM 2004»
13 years 10 months ago
Segmentation of Interest Objects Using the Hierarchical Mesh Structure
The object boundary of an image plays an important role for image analysis and interpretation. The watershed algorithm and the region growing algorithm are popularly employed for i...
Dong-Keun Lim, Yo-Sung Ho
ICIP
2005
IEEE
13 years 10 months ago
Atlas-based segmentation of medical images locally constrained by level sets
Atlas-based segmentation has become a standard paradigm for exploiting prior knowledge in medical image segmentation. In this paper, we propose a method to exploit both the robust...
Valerie Duay, Nawal Houhou, Jean-Philippe Thiran
IBPRIA
2003
Springer
13 years 10 months ago
Robust Extraction of Vertices in Range Images by Constraining the Hough Transform
We describe a technique for extracting vertices from range images of cluttered box-like objects. Edge detection is performed and an edge map is acquired. Extraction of vertices is ...
Dimitrios Katsoulas
IJCV
2006
262views more  IJCV 2006»
13 years 4 months ago
A Variational Model for Object Segmentation Using Boundary Information and Shape Prior Driven by the Mumford-Shah Functional
In this paper, we propose a new variational model to segment an object belonging to a given shape space using the active contour method, a geometric shape prior and the Mumford-Sha...
Xavier Bresson, Pierre Vandergheynst, Jean-Philipp...