Back to Search Start Over

Compressão sem Perdas de Imagens Mamográficas Utilizando Código Gray e Algoritmo PPM.

Authors :
Magjarevic, R.
Nagel, J. H.
Müller-Karger, Carmen
Wong, Sara
La Cruz, Alexandra
Marques, José Raphael Teixeira
Honório, Tatiane C. S.
v.d. Poel, Jan Kees
de Souza, André R. C.
V. Batista, Leonardo
Source :
IV Latin American Congress on Biomedical Engineering 2007, Bioengineering Solutions for Latin America Health; 2008, p1216-1220, 5p
Publication Year :
2008

Abstract

This work describes a mammographic image compression method that uses segmentation and the prediction by partial matching (PPM) data compression algorithm, together with the gray code and a bit plane image decomposition. The compressor will be included in a Computer-Aided Diagnosis System which is still being developed. Results show that the method achieves competitive compression rates in comparison with other advanced compressors, and brings some additional benefits which will be discussed in this work. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISBNs :
9783540744702
Database :
Supplemental Index
Journal :
IV Latin American Congress on Biomedical Engineering 2007, Bioengineering Solutions for Latin America Health
Publication Type :
Book
Accession number :
33095869
Full Text :
https://doi.org/10.1007/978-3-540-74471-9_282