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» Unsupervised detection of contours using a statistical model
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206
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PAMI
2011
14 years 10 months ago
Decoupled Active Contour (DAC) for Boundary Detection
— The accurate detection of object boundaries via active contours is an ongoing research topic in computer vision. Most active contours converge towards some desired contour by m...
Akshaya Kumar Mishra, Paul W. Fieguth, David A. Cl...
108
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EMNLP
2009
15 years 1 months ago
Classifier Combination for Contextual Idiom Detection Without Labelled Data
We propose a novel unsupervised approach for distinguishing literal and non-literal use of idiomatic expressions. Our model combines an unsupervised and a supervised classifier. T...
Linlin Li, Caroline Sporleder
ISBI
2007
IEEE
15 years 9 months ago
Lesion Detection in Noisy Mr Brain Images Using Constrained Gmm and Active Contours
This paper focuses on the detection and segmentation of multiple sclerosis (MS) lesions in magnetic resonance images. The proposed method performs healthy tissue segmentation usin...
Oren Freifeld, Hayit Greenspan, Jacob Goldberger
138
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ICIP
2005
IEEE
16 years 5 months ago
Active contours on statistical manifolds and texture segmentation
A new approach to active contours on statistical manifolds is presented. The statistical manifolds are 2dimensional Riemannian manifolds that are statistically defined by maps that...
Sang-Mook Lee, A. Lynn Abbott, Neil A. Clark, Phil...
115
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ICPR
2000
IEEE
16 years 4 months ago
A Multi-Variate Contour Detector for High-Resolution Polarimetric SAR Images
This article presents a new method for contour detection in high-resolution polarimetric SAR images. The method is based on multi-variate statistics of speckle in homogeneous regi...
Dirk Borghys, Christiaan Perneel, Marc Acheroy