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CVPR
2010
IEEE
16 years 18 days ago
A Diffusion Approach to Seeded Image Segmentation
Seeded image segmentation is a popular type of supervised image segmentation in computer vision and image processing. Previous methods of seeded image segmentation treat the image...
Juyong Zhang, Jianmin Zheng, Jianfei Cai
MICCAI
2006
Springer
16 years 5 months ago
A General Framework for Image Segmentation Using Ordered Spatial Dependency
The segmentation problem appears in most medical imaging applications. Many research groups are pushing toward a whole body segmentation based on atlases. With a similar objective,...
Mikaël Rousson, Chenyang Xu
MICCAI
2008
Springer
16 years 5 months ago
Joint Segmentation of Thalamic Nuclei from a Population of Diffusion Tensor MR Images
Abstract. Several recent studies explored the use of unsupervised segmentation methods for segmenting thalamic nuclei from diffusion tensor images. These methods provide a plausibl...
Ulas Ziyan, Carl-Fredrik Westin
ICIP
1999
IEEE
16 years 6 months ago
Hypercomplex Auto-And-Cross-Correlation of Color Images
Autocorrelation and cross-correlation have been defined and utilized in signal and image processing for many years, but not for color or vector images. In this poster we present f...
Stephen J. Sangwine, Todd A. Ell
IROS
2009
IEEE
196views Robotics» more  IROS 2009»
15 years 11 months ago
Scene recognition with omnidirectional vision for topological map using lightweight adaptive descriptors
Abstract— Mobile robots rely on their ability of scene recognition to build a topological map of the environment and perform location-related tasks. In this paper, we describe a ...
Ming Liu, Davide Scaramuzza, Cédric Pradali...