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» A Unified Tensor Level Set for Image Segmentation
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TIP
2008
144views more  TIP 2008»
14 years 9 months ago
Minimization of Region-Scalable Fitting Energy for Image Segmentation
Intensity inhomogeneities often occur in real-world images and may cause considerable difficulties in image segmentation. In order to overcome the difficulties caused by intensity ...
Chunming Li, Chiu-Yen Kao, John C. Gore, Zhaohua D...
CVPR
2000
IEEE
15 years 1 months ago
Statistical Shape Influence in Geodesic Active Contours
A novel method of incorporating shape information into the image segmentation process is presented. We introduce a representation for deformable shapes and define a probability di...
Michael E. Leventon, W. Eric L. Grimson, Olivier D...
TIP
2002
130views more  TIP 2002»
14 years 9 months ago
Forward-and-backward diffusion processes for adaptive image enhancement and denoising
Signal and image enhancement is considered in the context of a new type of diffusion process that simultaneously enhances, sharpens, and denoises images. The nonlinear diffusion co...
Guy Gilboa, Nir A. Sochen, Yehoshua Y. Zeevi
MICCAI
2005
Springer
15 years 10 months ago
Comparison of Vessel Segmentations Using STAPLE
We propose a novel method for the validation of vascular segmentations. Our technique combines morphological operators and the STAPLE algorithm to obtain ground truth of centerline...
Julien Jomier, Vincent LeDigarcher, Stephen R. Ayl...
ICIP
2008
IEEE
15 years 4 months ago
Illumination invariant active contour-based segmentation using complex-valued wavelets
This paper introduces a novel approach to the problem of active contour-based segmentation through the use of complexvalued wavelets. In traditional active contour-based segmentat...
Alexander Wong