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ISM
2006
IEEE
277views Multimedia» more  ISM 2006»
13 years 10 months ago
Efficient Bottom-Up Image Segmentation Using Region Competition and the Mumford-Shah Model for Color and Textured Images
Curve evolution implementations [3][23] [25] of the Mumford-Shah functional [16] are of broad interest in image segmentation. These implementations, however, have initialization p...
Yongsheng Pan, J. Douglas Birdwell, Seddik M. Djou...
CRV
2008
IEEE
116views Robotics» more  CRV 2008»
14 years 4 months ago
Segmentation of Rectangular Objects Lying on an Unknown Background in a Small Preview Scan Image
We describe a method to segment rectangular objects that lie on a slightly textured background of an a-priori unknown colour. Our contribution consists of a fast and accurate back...
Michael Guerzhoy, Hui Zhou
ICCV
2007
IEEE
14 years 4 months ago
Fast Automatic Heart Chamber Segmentation from 3D CT Data Using Marginal Space Learning and Steerable Features
Multi-chamber heart segmentation is a prerequisite for global quantification of the cardiac function. The complexity of cardiac anatomy, poor contrast, noise or motion artifacts ...
Yefeng Zheng, Adrian Barbu, Bogdan Georgescu, Mich...
IPMI
2005
Springer
14 years 11 months ago
Topology Preserving Tissue Classification with Fast Marching and Topology Templates
Abstract. This paper presents a novel approach for object segmentation in medical images that respects the topological relationships of multiple structures as given by a template. ...
Pierre-Louis Bazin, Dzung L. Pham
CVPR
2006
IEEE
15 years 3 days ago
An Integrated Segmentation and Classification Approach Applied to Multiple Sclerosis Analysis
We present a novel multiscale approach that combines segmentation with classification to detect abnormal brain structures in medical imagery, and demonstrate its utility in detect...
Ayelet Akselrod-Ballin, Meirav Galun, Ronen Basri,...