Sciweavers

11 search results - page 1 / 3
» Combining Region and Edge Cues for Image Segmentation in a P...
Sort
View
CVPR
2007
IEEE
14 years 6 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
ICIP
2005
IEEE
14 years 6 months ago
An automatic segmentation of color images by using a combination of mixture modelling and adaptive region information: a level s
In this paper, we propose a novel automatic framework for variational color image segmentation based on unifying adaptive region information and mixture modelling. We consider a f...
Mohand Saïd Allili, Djemel Ziou
CVPR
2007
IEEE
14 years 6 months ago
Image Segmentation by Probabilistic Bottom-Up Aggregation and Cue Integration
We present a parameter free approach that utilizes multiple cues for image segmentation. Beginning with an image, we execute a sequence of bottom-up aggregation steps in which pix...
Sharon Alpert, Meirav Galun, Ronen Basri, Achi Bra...
ISBI
2004
IEEE
14 years 5 months ago
A Probabilistic Framework for the Detection and Tracking in Time of Multiple Sclerosis Lesions
A novel statistical scheme for the automatic detection and tracking in time of relapsing-remitting multiple sclerosis (MS) lesions in image sequences is described. Coherent space-...
Allon Shahar, Hayit Greenspan
ECCV
2000
Springer
14 years 6 months ago
Coupled Geodesic Active Regions for Image Segmentation: A Level Set Approach
Abstract. This paper presents anovel variational method forimage segmentation that uni es boundary and region-based information sources under the Geodesic Active Region framework. ...
Nikos Paragios, Rachid Deriche