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» Fast semi-supervised image segmentation by novelty selection
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ICASSP
2010
IEEE
13 years 5 months ago
Fast semi-supervised image segmentation by novelty selection
The goal of semi-supervised image segmentation is to obtain the segmentation from a partially labeled image. By utilizing the image manifold structure in labeled and unlabeled pix...
António R. C. Paiva, Tolga Tasdizen
FIMH
2005
Springer
13 years 11 months ago
A Deterministic-Statistic Adventitia Detection in IVUS Images
Plaque analysis in IVUS planes needs accurate intima and adventitia models. Large variety in adventitia descriptors difficulties its detection and motivates using a classification...
Debora Gil, Aura Hernandez, Antoni Carol, Oriol Ro...
SCALESPACE
2007
Springer
13 years 11 months ago
Segmentation Under Occlusions Using Selective Shape Prior
In this work, we address the problem of segmenting multiple objects, under possible occlusions, in a level set framework. A variational energy that incorporates a piecewise constan...
Sheshadri Thiruvenkadam, Tony F. Chan, Byung-Woo H...
ICIP
2008
IEEE
13 years 11 months ago
A fast level set algorithm for shape-based segmentation with multiple selective priors
This paper addresses the shape-based segmentation problem using level sets. In particular, we propose a fast algorithm to solve the piece-wise constant Chan-Vese segmentation mode...
Rachid Fahmi, Aly A. Farag
CAIP
2003
Springer
133views Image Analysis» more  CAIP 2003»
13 years 10 months ago
Automatic Segmentation of Diatom Images
A general framework for automatic segmentation of diatom images is presented. This segmentation is a critical first step in contour-based methods for automatic identification of ...
Andrei Jalba, Jos B. T. M. Roerdink