Sciweavers

1161 search results - page 75 / 233
» A New Bayesian Method for Range Image Segmentation
Sort
View
IJCV
2002
188views more  IJCV 2002»
13 years 8 months ago
A Multiphase Level Set Framework for Image Segmentation Using the Mumford and Shah Model
We propose a new multiphase level set framework for image segmentation using the Mumford and Shah model, for piecewise constant and piecewise smooth optimal approximations. The pro...
Luminita A. Vese, Tony F. Chan
CCIA
2009
Springer
13 years 7 months ago
Patch Growing: Object segmentation using spatial coherence of local patches
Object segmentation is a challenging and important problem in computer vision. The difficulties to obtain accurate segmentations using only the traditional Topdown or Bottom-up ap...
Marc Masias, Albert Torrent, Xavier Lladó, ...
ICIP
2006
IEEE
14 years 10 months ago
Segmentation and Fuzzy-Logic Classification of M-FISH Chromosome Images
Multicolor fluorescence in-situ hybridization (M-FISH) technique provides color karyotyping that allows simultaneous analysis of numerical and structural abnormalities of whole hu...
Hyohoon Choi, Kenneth R. Castleman, Alan C. Bovik
3DIM
2001
IEEE
14 years 23 days ago
Comparison of HK and SC Curvature Description Methods
This paper compares two different local surface shape description methods. The general goal of surface shape description methods is to classify different surface shapes from range...
H. Cantzler, Robert B. Fisher
CVPR
2007
IEEE
14 years 11 months ago
Combining Region and Edge Cues for Image Segmentation in a Probabilistic Gaussian Mixture Framework
In this paper we propose a new segmentation algorithm which combines patch-based information with edge cues under a probabilistic framework. We use a mixture of multiple Gaussians...
Omer Rotem, Hayit Greenspan, Jacob Goldberger