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DICTA
2003
13 years 6 months ago
Compressing Sets of Similar Medical Images Using Multilevel Centroid Technique
 Application areas such as medical imaging or satellite imaging often  store  large  collections of  similar  images.  Lossless  compression  techniques  are  ...
Yasser El-Sonbaty, Meer Hamza, George Basily
JMIV
2006
176views more  JMIV 2006»
13 years 4 months ago
Centroidal Voronoi Tessellation Algorithms for Image Compression, Segmentation, and Multichannel Restoration
Centroidal Voronoi tessellations (CVT's) are special Voronoi tessellations for which the generators of the tessellation are also the centers of mass (or means) of the Voronoi ...
Qiang Du, Max Gunzburger, Lili Ju, Xiaoqiang Wang
EUROMICRO
2000
IEEE
13 years 9 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...
CISST
2004
142views Hardware» more  CISST 2004»
13 years 6 months ago
Decorrelating Medical Image Sets with Lifting: A New Approach
- In recent years, wavelet lifting is widely used in digital image processing. Different lifting schemes decorrelate digital medical image sets differently. The difference is due t...
Rahman Tashakkori, John M. Tyler, Oleg S. Pianykh,...
MLDM
2005
Springer
13 years 10 months ago
Using Clustering to Learn Distance Functions for Supervised Similarity Assessment
Assessing the similarity between objects is a prerequisite for many data mining techniques. This paper introduces a novel approach to learn distance functions that maximizes the c...
Christoph F. Eick, Alain Rouhana, Abraham Bagherje...