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ARTMED
2004
145views more  ARTMED 2004»
13 years 7 months ago
A novel kernelized fuzzy C-means algorithm with application in medical image segmentation
: Image segmentation plays a crucial role in many medical imaging applications. In this paper, we present a novel algorithm for fuzzy segmentation of magnetic resonance imaging (MR...
Dao-Qiang Zhang, Song-Can Chen
ICDAR
2009
IEEE
13 years 5 months ago
A Unified Framework Based on the Level Set Approach for Segmentation of Unconstrained Double-Sided Document Images Suffering fro
A novel method for the segmentation of double-sided ancient document images suffering from bleed-through effect is presented. It takes advantage of the level set framework to prov...
Reza Farrahi Moghaddam, David Rivest-Hénaul...
CVPR
2004
IEEE
14 years 9 months ago
A Variational Approach to Scene Reconstruction and Image Segmentation from Motion-Blur Cues
In this paper we are interested in the joint reconstruction of geometry and photometry of scenes with multiple moving objects from a collection of motion-blurred images. We make s...
Paolo Favaro, Stefano Soatto
ICCV
2001
IEEE
14 years 9 months ago
Shape Deformation: SVM Regression and Application to Medical Image Segmentation
This paper presents a novel landmark-based shape deformation method. This method effectively solves two problems inherent in landmark-based shape deformation: (a) identification o...
Song Wang, Weiyu Zhu, Zhi-Pei Liang
CVPR
2010
IEEE
14 years 1 months ago
Neuron Geometry Extraction by Perceptual Grouping in ssTEM images
In the field of neuroanatomy, automatic segmentation of electron microscopy images is becoming one of the main limiting factors in getting new insights into the functional struct...
Verena Kaynig, Thomas Fuchs, Joachim Buhmann