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» Level Set Methods for Watershed Image Segmentation
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CVPR
2009
IEEE
15 years 4 months ago
Active Volume Models for 3D Medical Image Segmentation
In this paper, we propose a novel predictive model for object boundary, which can integrate information from any sources. The model is a dynamic “object” model whose manifes...
Tian Shen (Lehigh University), Hongsheng Li (Lehig...
ICASSP
2009
IEEE
14 years 21 days ago
High-level feature extraction using SVM with walk-based graph kernel
We investigate a method using support vector machines (SVMs) with walk-based graph kernels for high-level feature extraction from images. In this method, each image is first segme...
Jean-Philippe Vert, Tomoko Matsui, Shin'ichi Satoh...
ICIP
2006
IEEE
14 years 10 months ago
Acoustic Range Image Segmentation by Effective Mean Shift
Image perception in underwater environment is a difficult task for a human operator, and data segmentation becomes a crucial step toward an higher level interpretation and recogni...
Umberto Castellani, Marco Cristani, Vittorio Murin...
ISBI
2004
IEEE
14 years 9 months ago
Differentiable Minimin Shape Distance For Incorporating Topological Priors in Biomedical Imaging
In the application of curve evolution and level set methods to biomedical image analysis, the incorporation of geometric priors for isolated shapes has been proved useful. On the ...
Yonggang Shi, William Clement Karl
ICIP
1997
IEEE
14 years 10 months ago
Detecting and Solving Template Ambiguities in Motion Segmentation
When the color or gray level of a moving object is very similar to that of the background, motion-based segmentation methods fail. This leads to ambiguous templates for the moving...
José M. F. Moura, Pedro M. Q. Aguiar