Abstract
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<p>Focus of research in Active conto … <p>Focus of research in Active contour models (ACM) area is mainly on development of various energy functions based on physical intuition. In this work, instead of designing a new energy function, we generate a multitude of contour candidates using various values of ACM parameters, assess their quality, and select the most suitable one for an object at hand. A random forest is trained to make contour quality assessments.We demonstrate experimentally superiority of the developed technique over three known algorithms in the P. minimum cells detection task solved via segmentation of phytoplankton images.</p>ntation of phytoplankton images.</p>
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Author
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Adas Gelzinis +
, Antanas Verikas +
, Marija Bacauskiene +
, Evaldas Vaiciukynas +
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Conference
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14th International Conference, EANN 2013, Halkidiki, Greece, September 13-16
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DOI
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http://dx.doi.org/10.1007/978-3-642-41013-0_41 +
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Diva
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http://hh.diva-portal.org/smash/record.jsf?searchId=1&pid=diva2:668670
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EndPage
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405 +
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HostPublication
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Engineering Applications of Neural Networks : 14th International Conference, EANN 2013, Halkidiki, Greece, September 13-16, 2013 Proceedings, Part I +
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PublicationType
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Conference Paper +
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Publisher
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Springer Berlin/Heidelberg +
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Series
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Communications in Computer and Information Science ; 383 +
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StartPage
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396 +
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Title
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Learning Accurate Active Contours +
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Year
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2013 +
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Has queryThis property is a special property in this wiki.
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Publications:Learning Accurate Active Contours +
, Publications:Learning Accurate Active Contours +
, Publications:Learning Accurate Active Contours +
, Publications:Learning Accurate Active Contours +
, Publications:Learning Accurate Active Contours +
, Publications:Learning Accurate Active Contours +
, Publications:Learning Accurate Active Contours +
, Publications:Learning Accurate Active Contours +
, Publications:Learning Accurate Active Contours +
, Publications:Learning Accurate Active Contours +
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Categories |
Publication +
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Modification dateThis property is a special property in this wiki.
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30 September 2016 20:41:35 +
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