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ISVC
2010
Springer
14 years 7 months ago
Split Bregman Method for Minimization of Region-Scalable Fitting Energy for Image Segmentation
Abstract. In this paper, we incorporated the global convex segmentation method and the split Bregman technique into the region-scalable fitting energy model. The new proposed metho...
Yunyun Yang, Chunming Li, Chiu-Yen Kao, Stanley Os...
ICIP
2003
IEEE
15 years 11 months ago
Geometric segmentation of 3D structures
Segmentation in volumetric images deals with separating `objects' from their `background' in a given 3D data. Usually, one starts with `edge detectors' that give bi...
Ron Kimmel
JMIV
2006
176views more  JMIV 2006»
14 years 9 months ago
Segmentation of Vectorial Image Features Using Shape Gradients and Information Measures
In this paper, we propose to focus on the segmentation of vectorial features (e.g. vector fields or color intensity) using region-based active contours. We search for a domain that...
Ariane Herbulot, Stéphanie Jehan-Besson, St...
CVPR
2000
IEEE
15 years 11 months ago
A Curve Evolution Approach to Smoothing and Segmentation Using the Mumford-Shah Functional
In this work, we approach the classic Mumford-Shah problem from a curve evolution perspective. In particular, we let a given family of curves define the boundaries between regions...
Andy Tsai, Anthony J. Yezzi, Alan S. Willsky
SIAMIS
2008
292views more  SIAMIS 2008»
14 years 9 months ago
Topology Preserving Linear Filtering Applied to Medical Imaging
One of the central problems of medical imaging is the 3D visualization of body parts. The 3D volume can be viewed in slices, but the extraction of a part requires a segmentation p...
Antoni Buades, Aichi Chien, Jean-Michel Morel, Sta...