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EGITALY
2006
14 years 11 months ago
3D Data Segmentation Using a Non-Parametric Density Estimation Approach
In this paper, a new segmentation approach for sets of 3D unorganized points is proposed. The method is based on a clustering procedure that separates the modes of a non-parametri...
Umberto Castellani, Marco Cristani, Vittorio Murin...
ISCAPDCS
2003
14 years 10 months ago
Optimal Graph Transformation Assuming Alternate Scheduling Models
Many computation-intensive iterative or recursive applications commonly found in digital signal processing and image processing applications can be represented by data-flow graph...
Timothy W. O'Neil
CORR
2008
Springer
128views Education» more  CORR 2008»
14 years 9 months ago
Classification of curves in 2D and 3D via affine integral signatures
We propose new robust classification algorithms for planar and spatial curves subjected to affine transformations. Our motivation comes from the problems in computer image recognit...
Shuo Feng, Irina A. Kogan, Hamid Krim
TMI
2008
109views more  TMI 2008»
14 years 9 months ago
Efficient Multilevel Brain Tumor Segmentation With Integrated Bayesian Model Classification
Abstract-- We present a new method for automatic segmentation of heterogeneous image data that takes a step toward bridging the gap between bottom-up affinity-based segmentation me...
Jason J. Corso, Eitan Sharon, S. Dube, Suzie El-Sa...
JMIV
2007
83views more  JMIV 2007»
14 years 9 months ago
Minimization of a Detail-Preserving Regularization Functional for Impulse Noise Removal
Recently, a powerful two-phase method for restoring images corrupted with high level impulse noise has been developed. The main drawback of the method is the computational efficie...
Jian-Feng Cai, Raymond H. Chan, Carmine Di Fiore