Applying Evolution Strategies for Chest Radiographs Segmentation

Applying Evolution Strategies for Chest Radiographs Segmentation

WSegmentation is one of the key areas in computer vision. Advanced techniques, such as active contour models and active shape models suffer from many drawbacks. An improvement of the two approaches, based in evolution strategies, is presented. Some of its advantages lie in less computational resourc...

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Main Author: Oliviu Matei
Format: Article
Language:English
Published: Institute of Mathematics and Computer Science of the Academy of Sciences of Moldova 2006-12-01
Series:Computer Science Journal of Moldova
Online Access:http://www.math.md/files/csjm/v14-n3/v14-n3-(pp324-344).pdf
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spelling doaj-46364fa3931b4c8986bdf35d620b20c42020-11-24T22:53:32ZengInstitute of Mathematics and Computer Science of the Academy of Sciences of MoldovaComputer Science Journal of Moldova1561-40422006-12-01143(42)324344Applying Evolution Strategies for Chest Radiographs SegmentationOliviu Matei0Technical University of Cluj-NapocaWSegmentation is one of the key areas in computer vision. Advanced techniques, such as active contour models and active shape models suffer from many drawbacks. An improvement of the two approaches, based in evolution strategies, is presented. Some of its advantages lie in less computational resources and less a priori knowledge required. At the end of the paper, the results of the experiments carried out with the new approach are presented.http://www.math.md/files/csjm/v14-n3/v14-n3-(pp324-344).pdf
collection DOAJ
language English
format Article
sources DOAJ
author Oliviu Matei
spellingShingle Oliviu Matei
Applying Evolution Strategies for Chest Radiographs Segmentation
Computer Science Journal of Moldova
author_facet Oliviu Matei
author_sort Oliviu Matei
title Applying Evolution Strategies for Chest Radiographs Segmentation
title_short Applying Evolution Strategies for Chest Radiographs Segmentation
title_full Applying Evolution Strategies for Chest Radiographs Segmentation
title_fullStr Applying Evolution Strategies for Chest Radiographs Segmentation
title_full_unstemmed Applying Evolution Strategies for Chest Radiographs Segmentation
title_sort applying evolution strategies for chest radiographs segmentation
publisher Institute of Mathematics and Computer Science of the Academy of Sciences of Moldova
series Computer Science Journal of Moldova
issn 1561-4042
publishDate 2006-12-01
description WSegmentation is one of the key areas in computer vision. Advanced techniques, such as active contour models and active shape models suffer from many drawbacks. An improvement of the two approaches, based in evolution strategies, is presented. Some of its advantages lie in less computational resources and less a priori knowledge required. At the end of the paper, the results of the experiments carried out with the new approach are presented.
url http://www.math.md/files/csjm/v14-n3/v14-n3-(pp324-344).pdf
work_keys_str_mv AT oliviumatei applyingevolutionstrategiesforchestradiographssegmentation
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