Detailed Information
Cited 1 time in 
Cited 3 time in 
Cited 3 time in
Metadata Downloads
Edge detection based on morphological amoebas
Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Lee, W. Y. | - |
| dc.contributor.author | Kim, Y. W. | - |
| dc.contributor.author | Kim, S. Y. | - |
| dc.contributor.author | Lim, J. Y. | - |
| dc.contributor.author | Lim, D. H. | - |
| dc.date.accessioned | 2022-12-27T01:46:25Z | - |
| dc.date.available | 2022-12-27T01:46:25Z | - |
| dc.date.issued | 2012-06 | - |
| dc.identifier.issn | 1368-2199 | - |
| dc.identifier.issn | 1743-131X | - |
| dc.identifier.uri | https://scholarworks.gnu.ac.kr/handle/sw.gnu/22147 | - |
| dc.description.abstract | Detecting the edges of objects within images is critical for quality image processing. We present an edge-detection technique that uses morphological amoebas that adjust their shape based on variation in image contours. We evaluate the method both quantitatively and qualitatively for edge detection of images, and compare it to classic morphological methods. Our amoeba-based edge-detection system performed better than the classic edge detectors. | - |
| dc.format.extent | 12 | - |
| dc.language | 영어 | - |
| dc.language.iso | ENG | - |
| dc.publisher | TAYLOR & FRANCIS LTD | - |
| dc.title | Edge detection based on morphological amoebas | - |
| dc.type | Article | - |
| dc.publisher.location | 영국 | - |
| dc.identifier.doi | 10.1179/1743131X11Y.0000000013 | - |
| dc.identifier.scopusid | 2-s2.0-84861937857 | - |
| dc.identifier.wosid | 000304867100005 | - |
| dc.identifier.bibliographicCitation | IMAGING SCIENCE JOURNAL, v.60, no.3, pp 172 - 183 | - |
| dc.citation.title | IMAGING SCIENCE JOURNAL | - |
| dc.citation.volume | 60 | - |
| dc.citation.number | 3 | - |
| dc.citation.startPage | 172 | - |
| dc.citation.endPage | 183 | - |
| dc.type.docType | Article | - |
| dc.description.isOpenAccess | N | - |
| dc.description.journalRegisteredClass | sci | - |
| dc.description.journalRegisteredClass | scie | - |
| dc.description.journalRegisteredClass | scopus | - |
| dc.relation.journalResearchArea | Imaging Science & Photographic Technology | - |
| dc.relation.journalWebOfScienceCategory | Imaging Science & Photographic Technology | - |
| dc.subject.keywordPlus | MATHEMATICAL MORPHOLOGY | - |
| dc.subject.keywordPlus | NOISY IMAGES | - |
| dc.subject.keywordPlus | PART-I | - |
| dc.subject.keywordPlus | FILTERS | - |
| dc.subject.keywordPlus | TESTS | - |
| dc.subject.keywordAuthor | edge detection | - |
| dc.subject.keywordAuthor | morphological amoeba | - |
| dc.subject.keywordAuthor | structuring element | - |
- Files in This Item
- There are no files associated with this item.
- Appears in
Collections - 자연과학대학 > Dept. of Information and Statistics > Journal Articles
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.