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TIP
2010
87views more  TIP 2010»
14 years 8 months ago
A Nonconservative Flow Field for Robust Variational Image Segmentation
—We introduce a robust image segmentation method based on a variational formulation using edge flow vectors. We demonstrate the nonconservative nature of this flow field, a fe...
Pratim Ghosh, Luca Bertelli, Baris Sumengen, B. S....
ICANN
2010
Springer
14 years 10 months ago
Cell Microscopic Segmentation with Spiking Neuron Networks
Abstract. Spiking Neuron Networks (SNNs) overcome the computational power of neural networks made of thresholds or sigmoidal units. Indeed, SNNs add a new dimension, the temporal a...
Boudjelal Meftah, Olivier Lezoray, Michel Lecluse,...
CIARP
2007
Springer
15 years 4 months ago
Image Segmentation Using Automatic Seeded Region Growing and Instance-Based Learning
Segmentation through seeded region growing is widely used because it is fast, robust and free of tuning parameters. However, the seeded region growing algorithm requires an automat...
Octavio Gómez, Jesús A. Gonzá...
MVA
1992
14 years 11 months ago
A New Parallel Scheme for Robust Segmentation of Textured Images
This paper proposes a parallel schemelalgorithm which is based on statistical analyses to fulfilthe robust segmentation of nature texture image. The whole scheme is constructed as...
Xudong Guan, Jian-qin Liu, Nanning Zheng
EUROGRAPHICS
2010
Eurographics
14 years 11 months ago
Shared Sampling for Real-Time Alpha Matting
Image matting aims at extracting foreground elements from an image by means of color and opacity (alpha) estimation. While a lot of progress has been made in recent years on impro...
Eduardo S. L. Gastal and Manuel M. Oliveira