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Sperm Count Analysis Using Microscopic Image Processing

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dc.contributor.authorYang, H.-M.-
dc.contributor.authorLim, D.-W.-
dc.contributor.authorChoi, Y.-S.-
dc.contributor.authorKim, I.-H.-
dc.contributor.authorLin, A.-
dc.contributor.authorJung, J.-W.-
dc.date.accessioned2023-04-28T05:41:58Z-
dc.date.available2023-04-28T05:41:58Z-
dc.date.issued2019-
dc.identifier.issn1876-1100-
dc.identifier.issn1876-1119-
dc.identifier.urihttps://scholarworks.dongguk.edu/handle/sw.dongguk/8549-
dc.description.abstractIn this paper, we suggest an automated method for counting sperms using sequential microscopic image captured from the smartphone and additional microscopic lens. First, ROI image is created and then converts to the binary image. Using the previous frame, this binary image creates the subtraction image. After labeling of the subtraction image, counting the number of sperms is possible by the characteristics of microscopic image. Experimental results show that the results from the proposed algorithm is meaningful in the criteria from WHO standards. © 2019, Springer Nature Singapore Pte Ltd.-
dc.format.extent6-
dc.language영어-
dc.language.isoENG-
dc.publisherSpringer Verlag-
dc.titleSperm Count Analysis Using Microscopic Image Processing-
dc.typeArticle-
dc.publisher.location독일-
dc.identifier.doi10.1007/978-981-13-3648-5_55-
dc.identifier.scopusid2-s2.0-85066010260-
dc.identifier.bibliographicCitationLecture Notes in Electrical Engineering, v.542, pp 484 - 489-
dc.citation.titleLecture Notes in Electrical Engineering-
dc.citation.volume542-
dc.citation.startPage484-
dc.citation.endPage489-
dc.type.docTypeConference Paper-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassscopus-
dc.subject.keywordAuthorImage processing-
dc.subject.keywordAuthorMicroscopic image-
dc.subject.keywordAuthorSperm count-
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