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SIAMSC
2008
237views more  SIAMSC 2008»
13 years 7 months ago
A Variational Shape Optimization Approach for Image Segmentation with a Mumford--Shah Functional
We introduce a novel computational method for a Mumford-Shah functional, which decomposes a given image into smooth regions separated by closed curves. Casting this as a shape opti...
Günay Dogan, Pedro Morin, Ricardo H. Nochetto
CVPR
2005
IEEE
14 years 9 months ago
A New Active Contour Method Based on Elastic Interaction
Image segmentation is defined as partitioning an image into non-overlapping regions based on the intensity or texture. The active contour methods provide an effective way for segm...
Yang Xiang, Albert C. S. Chung, Jian Ye
ISBI
2002
IEEE
14 years 7 months ago
Statistical shape models for segmentation and structural analysis
Biomedical imaging of large patient populations, both cross-sectionally and longitudinally, is becoming a standard technique for noninvasive, in-vivo studies of the pathophysiolog...
Guido Gerig, Martin Andreas Styner, Gábor S...
VISUALIZATION
2003
IEEE
14 years 11 days ago
Visualizing Industrial CT Volume Data for Nondestructive Testing Applications
This paper describes a set of techniques developed for the visualization of high-resolution volume data generated from industrial computed tomography for nondestructive testing (N...
Runzhen Huang, Kwan-Liu Ma, Patrick S. McCormick, ...
AND
2009
13 years 5 months ago
A comprehensive evaluation methodology for noisy historical document recognition techniques
In this paper, we propose a new comprehensive methodology in order to evaluate the performance of noisy historical document recognition techniques. We aim to evaluate not only the...
Nikolaos Stamatopoulos, Georgios Louloudis, Basili...