Quality analysis of image segmentation based on G-UN-MMS

Rusu Mariana; Teodorescu Horia Nicolai

Articolul precedent

Articolul urmator

666

SM ISO690:2012

RUSU, Mariana, TEODORESCU, Horia Nicolai. Quality analysis of image segmentation based on G-UN-MMS. In: Nanotechnologies and Biomedical Engineering, Ed. 2, 18-20 aprilie 2013, Chișinău. Technical University of Moldova, 2013, Editia 2, pp. 620-624. ISBN 978-9975-62-343-8..

EXPORT metadate:
Google Scholar
Crossref
CERIF

DataCite
Dublin Core

Nanotechnologies and Biomedical Engineering
Editia 2, 2013

Conferința "International Conference on Nanotechnologies and Biomedical Engineering"
2, Chișinău, Moldova, 18-20 aprilie 2013

Quality analysis of image segmentation based on G-UN-MMS

Pag. 620-624

Rusu Mariana¹, Teodorescu Horia Nicolai²³

¹ Technical University of Moldova,
² Institute for Computer Science, Romanian Academy, Iasi Branch,
³ Gheorghe Asachi Technical University of Iasi

Disponibil în IBN: 24 iunie 2019

Rezumat

We analyze the quality of segmentation of the simple segmentation algorithm based on G-UNMM representation method introduced in other papers; then, we compare the segmentation results according to the G-UN-MMs with those obtained by other algorithms. We briefly present a preliminary report on the comparison of segmentation methods using only two objective comparison indices. Results that are more detailed will be presented in a definitive paper to extend this preliminary one.

Cuvinte-cheie
image segmentation, G-UN-MM models, segmentation quality, unsupervised evaluation

Dublin Core Export

<?xml version='1.0' encoding='utf-8'?>
<oai_dc:dc xmlns:dc='http://purl.org/dc/elements/1.1/' xmlns:oai_dc='http://www.openarchives.org/OAI/2.0/oai_dc/' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xsi:schemaLocation='http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd'>
<dc:creator>Rusu, M.</dc:creator>
<dc:creator>Teodorescu, H.L.</dc:creator>
<dc:date>2013</dc:date>
<dc:description xml:lang='en'><p>We analyze the quality of segmentation of the simple segmentation algorithm based on G-UNMM representation method introduced in other papers; then, we compare the segmentation results according to the G-UN-MMs with those obtained by other algorithms. We briefly present a preliminary report on the comparison of segmentation methods using only two objective comparison indices. Results that are more detailed will be presented in a definitive paper to extend this preliminary one.</p></dc:description>
<dc:source>Nanotechnologies and Biomedical Engineering (Editia 2) 620-624</dc:source>
<dc:subject>image segmentation</dc:subject>
<dc:subject>G-UN-MM models</dc:subject>
<dc:subject>segmentation quality</dc:subject>
<dc:subject>unsupervised evaluation</dc:subject>
<dc:title>Quality analysis of image segmentation based on G-UN-MMS</dc:title>
<dc:type>info:eu-repo/semantics/article</dc:type>
</oai_dc:dc>