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치아 영상의 반사 제거 및 치아 영역 자동 분할
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 김기덕 | - |
dc.contributor.author | 박원서 | - |
dc.date.accessioned | 2015-04-23T17:21:43Z | - |
dc.date.available | 2015-04-23T17:21:43Z | - |
dc.date.issued | 2010 | - |
dc.identifier.issn | 1229-2443 | - |
dc.identifier.uri | https://ir.ymlib.yonsei.ac.kr/handle/22282913/102315 | - |
dc.description.abstract | In this study, an efficient removal algorithm for specular reflections in a tooth color image is proposed to minimize the artefact interrupting color image segmentation. The pixel values of RGB color channels are initially reversed to emphasize the features in reflective regions, and then those regions are automatically detected by utilizing perceptron artificial neural network model and those prominent intensities are corrected by applying a smoothing spatial filter. After correcting specular reflection regions, multiple seeds in the tooth candidates are selected to find the regional minima and MCWA(Marker-Controlled Watershed Algorithm) is applied to delineate the individual tooth region in a CCD tooth color image. Therefore, the accuracy in segmentation for separating tooth regions can be drastically improved with removing specular reflections due to the illumination effect | - |
dc.description.statementOfResponsibility | open | - |
dc.format.extent | 1136~1142 | - |
dc.relation.isPartOf | Transactions of the Korean Institute of Electrical Engineers (전기학회논문지) | - |
dc.rights | CC BY-NC-ND 2.0 KR | - |
dc.rights.uri | https://creativecommons.org/licenses/by-nc-nd/2.0/kr/ | - |
dc.title | 치아 영상의 반사 제거 및 치아 영역 자동 분할 | - |
dc.title.alternative | Individual Tooth Image Segmentation with Correcting of Specular Reflections | - |
dc.type | Article | - |
dc.contributor.college | College of Dentistry (치과대학) | - |
dc.contributor.department | Dept. of General Dentistry (통합진료학) | - |
dc.contributor.googleauthor | 이성택 | - |
dc.contributor.googleauthor | 김경섭 | - |
dc.contributor.googleauthor | 윤태호 | - |
dc.contributor.googleauthor | 이정환 | - |
dc.contributor.googleauthor | 김기덕 | - |
dc.contributor.googleauthor | 박원서 | - |
dc.admin.author | false | - |
dc.admin.mapping | false | - |
dc.contributor.localId | A00332 | - |
dc.contributor.localId | A01589 | - |
dc.relation.journalcode | J02748 | - |
dc.subject.keyword | Tooth, Color Image | - |
dc.subject.keyword | Perceptron | - |
dc.subject.keyword | Image Segmentation | - |
dc.subject.keyword | Artificial Neural Network (ANN) | - |
dc.contributor.alternativeName | Kim, Kee Deog | - |
dc.contributor.alternativeName | Park, Wonse | - |
dc.contributor.affiliatedAuthor | Kim, Kee Deog | - |
dc.contributor.affiliatedAuthor | Park, Wonse | - |
dc.citation.volume | 59 | - |
dc.citation.number | 6 | - |
dc.citation.startPage | 1136 | - |
dc.citation.endPage | 1142 | - |
dc.identifier.bibliographicCitation | Transactions of the Korean Institute of Electrical Engineers (전기학회논문지), Vol.59(6) : 1136-1142, 2010 | - |
dc.identifier.rimsid | 51631 | - |
dc.type.rims | ART | - |
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