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» Noisy Image Segmentation Based on a Level Set Evolution
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IJCNN
2000
IEEE
15 years 4 months ago
Classification of Noisy Signals Using Fuzzy ARTMAP Neural Networks
—This paper describes an approach to classification of noisy signals using a technique based on the fuzzy ARTMAP neural network (FAMNN). The proposed method is a modification of ...
Dimitrios Charalampidis, Michael Georgiopoulos, Ta...
ECCV
2004
Springer
16 years 1 months ago
Multiphase Dynamic Labeling for Variational Recognition-Driven Image Segmentation
Abstract. We propose a variational framework for the integration multiple competing shape priors into level set based segmentation schemes. By optimizing an appropriate cost functi...
Daniel Cremers, Nir A. Sochen, Christoph Schnö...
SMI
2008
IEEE
147views Image Analysis» more  SMI 2008»
15 years 6 months ago
Robust segmentation of voxel shapes using medial surfaces
We present a new method for robustly decomposing a 3D voxel shape into disjoint segments using the medial surface, also called surface skeleton. The boundaries of the simplified ...
Dennie Reniers, Alexandru Telea
SCALESPACE
1999
Springer
15 years 4 months ago
An Active Contour Model without Edges
In this paper, we propose a new model for active contours to detect objects in a given image, based on techniques of curve evolution, Mumford-Shah functional for segmentation and l...
Tony F. Chan, Luminita A. Vese
ISBI
2009
IEEE
15 years 6 months ago
A Classifier Ensemble Based on Performance Level Estimation
In this paper, we introduce a new classifier ensemble approach, applied to tissue segmentation in optical images of the uterine cervix. Ensemble methods combine the predictions o...
Wei Wang, Yaoyao Zhu, Xiaolei Huang, Daniel P. Lop...