Matos-2010b
From IEETA
Conference proceedings article
| Title | Lossless compression of microarray images based on background/foreground separation |
|---|---|
| Author | Luís Matos, António J. R. Neves, Armando J. Pinho |
| Booktitle | Proc. of the 16th Portuguese Conf. on Pattern Recognition, RecPad 2010 |
| Address | Vila Real, Portugal |
| Volume | |
| Pages | |
| Month | October |
| Year | 2010 |
| Group | |
| Group (before 2015) | Signal Processing Laboratory |
| Indexed by ISI | No |
| Scope | National |
Abstract - During the last years, there has been substantial amount of research in microarray technology. The result of a microarray experiment is a pair of grayscale images. These images are characterized by a massive amount of data, due to the high resolution of the scanners. Therefore, the development of efficient compression algorithms is a key aspect in this area. In this paper, we propose a compression algorithm for microarray images based on a background/foreground separation method. Each component (background and foreground) is compressed using 3D finitecontext models and arithmetic coding. The experimental results in a large set of images show that in some cases we can obtain good compression results.
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