Wavelet Filtering and Level Set Segmentation of NMR Images for Monitoring the Development of Growing Cultures

0336702 - ÚPT 2010 RIV US eng C - Konferenční příspěvek (zahraniční konf.)
Mikulka, J. - Gescheidtová, E. - Bartušek, Karel
Wavelet Filtering and Level Set Segmentation of NMR Images for Monitoring the Development of Growing Cultures.
PIERS 2009 Beijing: Progess in Electromagnetics Research Symposium - Proceedings. Cambridge: Electromagnetic Academy, 2009 - (Kong, J.), s. 1124-1127. ISBN 978-1-934142-08-0. ISSN 1559-9450.
[Progress in Electromagnetics Research Symposium 2009 Beijing. Beijing (CN), 23.04.2009-27.04.2009]
Grant CEP: GA ČR(CZ) GA102/07/0389
Výzkumný záměr: CEZ:AV0Z20650511
Klíčová slova: Wavelet Filtering * NMR Images
Kód oboru RIV: JA - Elektronika a optoelektronika, elektrotechnika

The paper describes the pre-processing and subsequent segmentation of NMR images of growing tissue cultures. Images obtained by the NMR technique give three separately growing cultures. The aim of the work was to follow the speed of their development. Images obtained by means of the NMR device used axe of very low resolution and contrast and there axe no sharp edges between regions. Processing such images may prove to be quite difficult. A suitable algorithm was found, which consists of the pre-processing of the image and subsequent multiphase level set segmentation. The proposed method segments the image based on the intensity of the regions sought, and is suitable for working with NMR images in which there axe no sharp edges. The method is described by partial differential equations that were transformed into corresponding difference equations solved numerically.
Trvalý link: http://hdl.handle.net/11104/0180884