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Focus measure of tunnel images
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| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Jeong, Hea In | - |
| dc.contributor.author | Jeong, Young Ju | - |
| dc.date.available | 2021-02-22T05:23:02Z | - |
| dc.date.issued | 2020-09 | - |
| dc.identifier.issn | 2185-2766 | - |
| dc.identifier.uri | https://scholarworks.sookmyung.ac.kr/handle/2020.sw.sookmyung/1229 | - |
| dc.description.abstract | The features of tunnels hinder distinguishing in-focus photographs taken in tunnels. Focused tunnel images are required for extracting meaningful information about tunnels such as cracks. In this paper, we propose a new focus algorithm induced by commonly used algorithms and suggest a pre-processing phase. The effectiveness of the suggestion is proven by the experimental results from actual tunnel images. © 2020 ICIC International. | - |
| dc.format.extent | 6 | - |
| dc.language | 영어 | - |
| dc.language.iso | ENG | - |
| dc.publisher | ICIC International | - |
| dc.title | Focus measure of tunnel images | - |
| dc.type | Article | - |
| dc.publisher.location | 미국 | - |
| dc.identifier.doi | 10.24507/icicelb.11.09.875 | - |
| dc.identifier.scopusid | 2-s2.0-85090657251 | - |
| dc.identifier.bibliographicCitation | ICIC Express Letters, Part B: Applications, v.11, no.9, pp 875 - 880 | - |
| dc.citation.title | ICIC Express Letters, Part B: Applications | - |
| dc.citation.volume | 11 | - |
| dc.citation.number | 9 | - |
| dc.citation.startPage | 875 | - |
| dc.citation.endPage | 880 | - |
| dc.type.docType | Article | - |
| dc.description.isOpenAccess | N | - |
| dc.description.journalRegisteredClass | scopus | - |
| dc.subject.keywordAuthor | Autofocus | - |
| dc.subject.keywordAuthor | Focus measure | - |
| dc.subject.keywordAuthor | Image processing | - |
| dc.subject.keywordAuthor | Sharpness measure | - |
| dc.identifier.url | http://www.icicelb.org/ellb/contents/2020/9/elb-11-09-09.pdf | - |
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