Automatic Binary Data Classification Using a Modified Allen-Cahn Equation
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Kim, S. | - |
dc.contributor.author | Kim, J. | - |
dc.date.accessioned | 2021-12-03T05:21:14Z | - |
dc.date.available | 2021-12-03T05:21:14Z | - |
dc.date.created | 2021-08-31 | - |
dc.date.issued | 2021-03-30 | - |
dc.identifier.issn | 0218-0014 | - |
dc.identifier.uri | https://scholar.korea.ac.kr/handle/2021.sw.korea/129040 | - |
dc.description.abstract | In this paper, we propose an automatic binary data classification method using a modified Allen-Cahn (AC) equation. The modified AC equation was originally developed for image segmentation. The equation consists of the AC equation with a fidelity term which enforces the solution to be the given data. In the proposed method, we start from a coarse grid and refine the grid until the accuracy of the data classification reaches a given tolerance. Therefore, we can avoid a laborious trial and error procedure. For a numerical method for the modified AC equation, we use a recently developed explicit hybrid scheme. We perform several 2D and 3D computational tests to demonstrate the performance of the proposed method. The computational results confirm that the proposed algorithm is automatic. © 2021 World Scientific Publishing Company. | - |
dc.language | English | - |
dc.language.iso | en | - |
dc.publisher | World Scientific | - |
dc.subject | Image segmentation | - |
dc.subject | Positive ions | - |
dc.subject | Allen-Cahn | - |
dc.subject | Allen-Cahn equation | - |
dc.subject | Binary data | - |
dc.subject | Coarse grid | - |
dc.subject | Computational results | - |
dc.subject | Computational tests | - |
dc.subject | Hybrid scheme | - |
dc.subject | Trial-and-error procedures | - |
dc.subject | Numerical methods | - |
dc.title | Automatic Binary Data Classification Using a Modified Allen-Cahn Equation | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Kim, J. | - |
dc.identifier.doi | 10.1142/S0218001421500130 | - |
dc.identifier.scopusid | 2-s2.0-85094636900 | - |
dc.identifier.wosid | 000639929900001 | - |
dc.identifier.bibliographicCitation | International Journal of Pattern Recognition and Artificial Intelligence, v.35, no.4 | - |
dc.relation.isPartOf | International Journal of Pattern Recognition and Artificial Intelligence | - |
dc.citation.title | International Journal of Pattern Recognition and Artificial Intelligence | - |
dc.citation.volume | 35 | - |
dc.citation.number | 4 | - |
dc.type.rims | ART | - |
dc.type.docType | Article | - |
dc.description.journalClass | 1 | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Computer Science | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Artificial Intelligence | - |
dc.subject.keywordPlus | Image segmentation | - |
dc.subject.keywordPlus | Positive ions | - |
dc.subject.keywordPlus | Allen-Cahn | - |
dc.subject.keywordPlus | Allen-Cahn equation | - |
dc.subject.keywordPlus | Binary data | - |
dc.subject.keywordPlus | Coarse grid | - |
dc.subject.keywordPlus | Computational results | - |
dc.subject.keywordPlus | Computational tests | - |
dc.subject.keywordPlus | Hybrid scheme | - |
dc.subject.keywordPlus | Trial-and-error procedures | - |
dc.subject.keywordPlus | Numerical methods | - |
dc.subject.keywordAuthor | Binary data classification | - |
dc.subject.keywordAuthor | modified Allen-Cahn equation | - |
dc.subject.keywordAuthor | operator splitting method | - |
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