Automatic estimation of Artemia hatching rate using an object discrimination method SCOPUS KCI

DC Field Value Language
dc.contributor.author Kim, S. -
dc.contributor.author Cho, H.-Y. -
dc.date.accessioned 2020-04-20T05:55:40Z -
dc.date.available 2020-04-20T05:55:40Z -
dc.date.created 2020-01-28 -
dc.date.issued 2013 -
dc.identifier.issn 1598-141X -
dc.identifier.uri https://sciwatch.kiost.ac.kr/handle/2020.kiost/3305 -
dc.description.abstract Digital image processing is a process to analyze a large volume of information on digital images. In this study, Artemia hatching rate was measured by automatically classifying and counting cysts and larvae based on color imaging data from cyst hatching experiments using an image processing technique. The Artemia hatching rate estimation consists of a series of processes; a step to convert the scanned image data to a binary image data, a process to detect objects and to extract their shape information in the converted image data, an analysis step to choose an optimal discriminant function, and a step to recognize and classify the objects using the function. The function to classify Artemia cysts and larvae is optimally estimated based on the classification performance using the areas and the plan-form factors of the detected objects. The hatching rate using the image data obtained under the different experimental conditions was estimated in the range of 34-48%. It was shown that the maximum difference is about 19.7% and the average root-mean squared difference is about 10.9% as the difference between the results using an automatic counting (this study) and a manual counting were compared. This technique can be applied to biological specimen analysis using similar imaging information. -
dc.description.uri 1 -
dc.language English -
dc.title Automatic estimation of Artemia hatching rate using an object discrimination method -
dc.type Article -
dc.citation.endPage 247 -
dc.citation.startPage 239 -
dc.citation.title Ocean and Polar Research -
dc.citation.volume 35 -
dc.citation.number 3 -
dc.identifier.bibliographicCitation Ocean and Polar Research, v.35, no.3, pp.239 - 247 -
dc.identifier.doi 10.4217/OPR.2013.35.3.239 -
dc.identifier.scopusid 2-s2.0-84940308720 -
dc.type.docType Note -
dc.identifier.kciid ART001803139 -
dc.description.journalClass 1 -
dc.subject.keywordAuthor Artemia -
dc.subject.keywordAuthor Cyst and larvae -
dc.subject.keywordAuthor Discriminant analysis -
dc.subject.keywordAuthor Hatching rate -
dc.subject.keywordAuthor Image analysis -
dc.description.journalRegisteredClass scopus -
dc.description.journalRegisteredClass kci -
Appears in Collections:
Marine Environmental & Climate Research Division > Marine Ecosystem Research Center > 1. Journal Articles
Ocean Research, Operations & Support Department > Marine Bigdata Center > 1. Journal Articles
Files in This Item:
There are no files associated with this item.

qrcode

Items in ScienceWatch@KIOST are protected by copyright, with all rights reserved, unless otherwise indicated.

Browse