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MIKULKA, J. GESCHEIDTOVÁ, E. BARTUŠEK, K.
Original Title
Soft-tissues image processing: comparison of traditional segmentation methods with 2D active contour methods
Type
journal article in Web of Science
Language
English
Original Abstract
The paper deals with modern methods of image processing, especially image segmentation, classification and evaluation of parameters. It is focused primarily on processing medical images of soft tissues obtained by magnetic resonance tomography (MR). It is easy to describe edges of the sought objects using of segmented images. The edges found can be useful for further processing of monitored object such as calculating the perimeter, surface and volume evaluation or even three-dimensional shape reconstruction. The proposed solutions can be used for the classification of healthy/unhealthy tissues in MR or other imaging. Application examples of the proposed segmentation methods are shown. Research in the area of image segmentation is focused on methods based on solving partial differential equations. This is a modern method for image processing, often called the active contour method. It is of great advantage in the segmentation of real images degraded by noise with fuzzy edges and transitions between objects. In the paper, results of the segmentation of medical images by the active contour method are compared with results of the segmentation by other existing methods. Experimental applications are given which demonstrate the very good properties of the active contour method.
Keywords
Medical image processing, image segmentation, liver tumour, temporomandibular joint disc, level set, active contours, thresholding, watershed, edge detectors
Authors
MIKULKA, J.; GESCHEIDTOVÁ, E.; BARTUŠEK, K.
RIV year
2012
Released
31. 7. 2012
Publisher
De Gruyter Open
ISBN
1335-8871
Periodical
Measurement Science Review
Year of study
12
Number
4
State
Slovak Republic
Pages from
153
Pages to
161
Pages count
9
URL
https://www.degruyter.com/view/j/msr.2012.12.issue-4/v10048-012-0023-8/v10048-012-0023-8.xml
Full text in the Digital Library
http://hdl.handle.net/11012/68378
BibTex
@article{BUT92915, author="Jan {Mikulka} and Eva {Gescheidtová} and Karel {Bartušek}", title="Soft-tissues image processing: comparison of traditional segmentation methods with 2D active contour methods", journal="Measurement Science Review", year="2012", volume="12", number="4", pages="153--161", doi="10.2478/v10048-012-0023-8", issn="1335-8871", url="https://www.degruyter.com/view/j/msr.2012.12.issue-4/v10048-012-0023-8/v10048-012-0023-8.xml" }