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Disease Edge Detection of Medical CT Image Using Digital Wavelet Filter

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dc.contributor.authorCho, Woon-
dc.contributor.authorChung, Daewon-
dc.contributor.authorWu, Yuhan-
dc.contributor.authorJeon, Joonhyeon-
dc.date.accessioned2023-04-28T10:41:10Z-
dc.date.available2023-04-28T10:41:10Z-
dc.date.issued2018-
dc.identifier.issn1951-6851-
dc.identifier.issn1951-6851-
dc.identifier.urihttps://scholarworks.dongguk.edu/handle/sw.dongguk/9988-
dc.description.abstractThe aim of this study is detecting disease edge of the medical CT (Computed Tomography) image. This paper describes the method by using 3-Tap bandpass filter signal and two high frequency sub-band CT images in wavelet domain for detecting part of disease. Simulation result show that the proposed method has high accuracy in detecting the disease edge area as is compared to existing methods. It provide a useful and efficient solution for detecting disease of medical CT image, and this method should be applicable to various medical images.-
dc.format.extent3-
dc.language영어-
dc.language.isoENG-
dc.publisherATLANTIS PRESS-
dc.titleDisease Edge Detection of Medical CT Image Using Digital Wavelet Filter-
dc.typeArticle-
dc.publisher.location프랑스-
dc.identifier.wosid000452911800019-
dc.identifier.bibliographicCitationPROCEEDINGS OF THE 2018 INTERNATIONAL CONFERENCE ON ADVANCED CONTROL, AUTOMATION AND ARTIFICIAL INTELLIGENCE (ACAAI 2018), v.155, pp 77 - 79-
dc.citation.titlePROCEEDINGS OF THE 2018 INTERNATIONAL CONFERENCE ON ADVANCED CONTROL, AUTOMATION AND ARTIFICIAL INTELLIGENCE (ACAAI 2018)-
dc.citation.volume155-
dc.citation.startPage77-
dc.citation.endPage79-
dc.type.docTypeProceedings Paper-
dc.description.isOpenAccessN-
dc.relation.journalResearchAreaAutomation & Control Systems-
dc.relation.journalResearchAreaComputer Science-
dc.relation.journalWebOfScienceCategoryAutomation & Control Systems-
dc.relation.journalWebOfScienceCategoryComputer Science, Artificial Intelligence-
dc.subject.keywordAuthormedical images-
dc.subject.keywordAuthoredge detection-
dc.subject.keywordAuthorimage processing-
dc.subject.keywordAuthordigital filter-
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