Number of the records: 1

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

SYSNO ASEP	0336702
Document Type	C - Proceedings Paper (int. conf.)
R&D Document Type	Conference Paper
Title	Wavelet Filtering and Level Set Segmentation of NMR Images for Monitoring the Development of Growing Cultures
Author(s)	Mikulka, J. (CZ) Gescheidtová, E. (CZ) Bartušek, Karel (UPT-D)_{RID, ORCID, SAI}
Number of authors	3
Source Title	PIERS 2009 Beijing: Progess in Electromagnetics Research Symposium - Proceedings. - Cambridge : Electromagnetic Academy, 2009 / Kong J. A. - ISSN 1559-9450 - ISBN 978-1-934142-08-0
Pages	s. 1124-1127
Number of pages	4 s.
Action	Progress in Electromagnetics Research Symposium 2009 Beijing
Event date	23.04.2009-27.04.2009
VEvent location	Beijing
Country	CN - China
Event type	WRD
Language	eng - English
Country	US - United States
Keywords	Wavelet Filtering ; NMR Images
Subject RIV	JA - Electronics ; Optoelectronics, Electrical Engineering
R&D Projects	GA102/07/0389 GA ČR - Czech Science Foundation (CSF)
CEZ	AV0Z20650511 - UPT-D (2005-2011)
UT WOS	000268101100234
Annotation	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.
Workplace	Institute of Scientific Instruments
Contact	Martina Šillerová, sillerova@ISIBrno.Cz, Tel.: 541 514 178
Year of Publishing	2010

Number of the records: 1