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dc.contributor.author문영식-
dc.date.accessioned2019-05-20T00:55:35Z-
dc.date.available2019-05-20T00:55:35Z-
dc.date.issued2008-06-
dc.identifier.citationJournal of Convergence Information Technology, v. 3, No. 2, Page. 39-44en_US
dc.identifier.issn1975-9320-
dc.identifier.urihttp://www.globalcis.org/dl/citation.html?id=JCIT-328&Search=Image Segmentation Method Using Hybrid Region Flow&op=Title-
dc.identifier.urihttps://repository.hanyang.ac.kr/handle/20.500.11754/104589-
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.en_US
dc.language.isoen_USen_US
dc.publisherAdvanced Institute of Convergence ITen_US
dc.subjectImage segmentationen_US
dc.subjectRegion flowen_US
dc.subjectTobogganingen_US
dc.titleImage Segmentation Method Using Hybrid Region Flowen_US
dc.typeArticleen_US
dc.relation.journalJournal of Convergence Information Technology-
dc.contributor.googleauthorChoi, Jin Mo-
dc.contributor.googleauthorMoon, Young Shik-
dc.relation.code2012220564-
dc.sector.campusE-
dc.sector.daehakCOLLEGE OF COMPUTING[E]-
dc.sector.departmentDIVISION OF COMPUTER SCIENCE-
dc.identifier.pidysmoon-
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COLLEGE OF COMPUTING[E](소프트웨어융합대학) > COMPUTER SCIENCE(소프트웨어학부) > Articles
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