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» Unsupervised detection of contours using a statistical model
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PRL
1998
98views more  PRL 1998»
14 years 9 months ago
Density propagation for surface tracking
This paper describes a novel approach to surface tracking in volumetric image stacks. It draws on a statistical model of the uncertainties inherent in the characterisation of feat...
Nigel G. Sharp, Edwin R. Hancock
CVPR
2010
IEEE
14 years 10 months ago
Scene understanding by statistical modeling of motion patterns
We present a novel method for the discovery and statistical representation of motion patterns in a scene observed by a static camera. Related methods involving learning of pattern...
Imran Saleemi, Lance Hartung, Mubarak Shah
MVA
2002
116views Computer Vision» more  MVA 2002»
14 years 9 months ago
Contour Extraction in Medical Images Using B-Snake Model
In this paper, a close-form B-snake model is presented for contour extraction in medical images. Based on our previous research work [lo], the Principal Component Analysis (PCA) h...
Yue Wang, Eam Khwang Teoh
CVPR
2008
IEEE
15 years 11 months ago
Fast texture segmentation model based on the shape operator and active contour
We present an approach for unsupervised segmentation of natural and textural images based on active contour, differential geometry and information theoretical concept. More precis...
Nawal Houhou, Jean-Philippe Thiran, Xavier Bresson
ICASSP
2011
IEEE
14 years 1 months ago
A fully automated 2-DE gel image analysis pipeline for high throughput proteomics
Image analysis is still considered as the bottleneck in 2D-gel based expression proteomics analysis for biomarkers discovery. We are presenting a new end-to-end image analysis pip...
Panagiotis Tsakanikas, Elias S. Manolakos