Sciweavers

ISBI
2006
IEEE
14 years 5 months ago
Topology preserving STACS segmentation of protein subcellular location images
We present an algorithm for the segmentation of multicell fluorescence microscopy images. Such images abound and a segmentation algorithm robust to different experimental conditio...
Amina Chebira, Elvira Garcia Osuna, Heather Kirsch...
MICCAI
2003
Springer
14 years 5 months ago
A New Brain Segmentation Framework
We present a new brain segmentation framework which we apply to T1-weighted magnetic resonance image segmentation. The innovation of the algorithm in comparison to the state-of-the...
Torsten Butz, Patric Hagmann, Eric Tardif, Reto Me...
MICCAI
2006
Springer
14 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
ICIP
2001
IEEE
14 years 6 months ago
Multiple parametric motion model estimation and segmentation
This paper presents a motion estimation and segmentation algorithm based on multiple parametric model estimation that determines the a priori unknown number of motion models prese...
Filiberto Pla, Raúl Montoliu
ICIP
2003
IEEE
14 years 6 months ago
MRA data segmentation using level sets
In this paper, we use a level set based segmentation algorithm to extract the vascular tree from Magnetic Resonance Angiography, "MRA". Classification model finds an opt...
Hossam S. Hassan, Aly A. Farag
ICIP
2006
IEEE
14 years 6 months ago
Automatic Hot Spot Detection and Segmentation in Whole Body FDG-PET Images
We present a system for automatic hot spots detection and segmentation in whole body FDG-PET images. The main contribution of our system is threefold. First, it has a novel body-s...
Haiying Guan, Toshiro Kubota, Xiaolei Huang, Xiang...
ECCV
2004
Springer
14 years 6 months ago
An Information-Based Measure for Grouping Quality
We propose a method for measuring the quality of a grouping result, based on the following observation: a better grouping result provides more information about the true, unknown g...
Erik A. Engbers, Michael Lindenbaum, Arnold W. M. ...
ICCV
1999
IEEE
14 years 6 months ago
Segmentation of Salient Closed Contours from Real Images
Using a saliency measure based on the global property of contour closure, we have developed a method that reliably segments out salient contours bounding unknown objects from real...
Shyjan Mahamud, Karvel K. Thornber, Lance R. Willi...
ICCV
2007
IEEE
14 years 6 months ago
Uninitialized, Globally Optimal, Graph-Based Rectilinear Shape Segmentation The Opposing Metrics Method
We present a new approach for the incorporation of shape information into a segmentation algorithm. Unlike previous approaches to the problem, our method requires no initializatio...
Ali Kemal Sinop, Leo Grady
ICCV
2007
IEEE
14 years 6 months ago
A Seeded Image Segmentation Framework Unifying Graph Cuts And Random Walker Which Yields A New Algorithm
In this work, we present a common framework for seeded image segmentation algorithms that yields two of the leading methods as special cases - The Graph Cuts and the Random Walker...
Ali Kemal Sinop, Leo Grady