Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

Image Segmentation Method Using Hybrid Region Flow

Full metadata record
DC Field Value Language
dc.contributor.authorJae Hyup Kim-
dc.contributor.authorKyung Hyun Jang-
dc.contributor.authorYoung Shik Moon-
dc.date.accessioned2021-06-23T17:39:00Z-
dc.date.available2021-06-23T17:39:00Z-
dc.date.created2021-02-18-
dc.date.issued2008-06-
dc.identifier.issn1975-9320-
dc.identifier.urihttps://scholarworks.bwise.kr/erica/handle/2021.sw.erica/42428-
dc.description.abstractThis paper suggests an efficient image segmentation algorithm in 3 steps for grayscale images. First step is the segmentation as homogenous region on image. And, second step is merging of region without meaningful boundary between segmented regions. At the final step, region, which is considered as meaningless due to composition with minute region, is merged by consideration of similarity with surrounding regions. In this paper, 3 kinds of dams, energy dam, sponge dam, valve dam, are proposed to induce efficient merging for geometrical features. In addition, we propose the mask for merging of segmented region from gradation. Through this, we propose the efficient image segmentation algorithm which is robust from over-segmentation and over-merging.-
dc.language영어-
dc.language.isoen-
dc.publisherAdvanced Institute of Convergence IT-
dc.titleImage Segmentation Method Using Hybrid Region Flow-
dc.typeArticle-
dc.contributor.affiliatedAuthorYoung Shik Moon-
dc.identifier.bibliographicCitationJournal of Convergence Information Technology, v.3, no.2, pp.39 - 44-
dc.relation.isPartOfJournal of Convergence Information Technology-
dc.citation.titleJournal of Convergence Information Technology-
dc.citation.volume3-
dc.citation.number2-
dc.citation.startPage39-
dc.citation.endPage44-
dc.type.rimsART-
dc.description.journalClass1-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassother-
dc.subject.keywordAuthorImage segmentation-
dc.subject.keywordAuthorRegion flow-
dc.subject.keywordAuthorTobogganing-
dc.identifier.urlhttps://scholar.google.co.kr/scholar?hl=ko&as_sdt=0%2C5&q=Image+Segmentation+Method+Using+Hybrid+Region+Flow&btnG=-
Files in This Item
Go to Link
Appears in
Collections
COLLEGE OF COMPUTING > SCHOOL OF COMPUTER SCIENCE > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Altmetrics

Total Views & Downloads

BROWSE