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ICCV
2007
IEEE
14 years 11 months ago
Variational Segmentation using Fuzzy Region Competition and Local Non-Parametric Probability Density Functions
We describe a novel variational segmentation algorithm designed to split an image in two regions based on their intensity distributions. A functional is proposed to integrate the ...
Benoit Mory, Roberto Ardon, Jean-Philippe Thiran
NDSS
2007
IEEE
14 years 4 months ago
Secret Handshakes with Dynamic and Fuzzy Matching
The need for communication privacy over public networks is of growing concern in today’s society. As a result, privacy-preserving authentication and key exchange protocols have ...
Giuseppe Ateniese, Jonathan Kirsch, Marina Blanton
EUROMICRO
2000
IEEE
14 years 2 months ago
Efficient Image Compression of Medical Images Using the Wavelet Transform and Fuzzy c-means Clustering on Regions of Interest
This paper suggests a novel image compression scheme, using the discrete wavelet transformation (DWT) and the fuzzy c-means clustering technique. The goal is to achieve higher com...
Dimitris A. Karras, S. A. Karkanis, Dimitrios E. M...
BILDMED
2009
170views Algorithms» more  BILDMED 2009»
13 years 11 months ago
Fuzzy Multiscale Region Growing for Segmentation of MR Images of the Human Brain
We propose an automatic region growing technique for the segmentation of the cerebral cortex and white matter in MRI data. Our method exploits general anatomical knowledge and uses...
Karin Engel, Frederik Maucksch, Anja Perlich, Matt...
ENGL
2007
92views more  ENGL 2007»
13 years 9 months ago
K-Mutual Nearest Neighbour Approach for Clustering Two-Dimensional Shapes Described by Fuzzy-Symbolic Features
Abstract— In this paper, a new method of representing twodimensional shapes using fuzzy-symbolic features and a similarity measure defined over fuzzy-symbolic features useful for...
H. S. Nagendraswamy, D. S. Guru