Full metadata record

DC Field Value Language
dc.contributor.authorKim, C.-H.-
dc.contributor.authorYou, B.-J.-
dc.contributor.authorKim, H.-
dc.date.accessioned2024-01-12T07:55:17Z-
dc.date.available2024-01-12T07:55:17Z-
dc.date.created2022-03-07-
dc.date.issued2006-10-
dc.identifier.issn0000-0000-
dc.identifier.urihttps://pubs.kist.re.kr/handle/201004/81539-
dc.description.abstractColor segmentation takes a great attention because color is an effective and robust visual cue for characterizing an object from the others. However, color segmentation suffers from color variations incurred by irregular illumination changes. We propose a reliable color modeling approach in HSI (Hue-Saturation-Intensity) color space while considering intensity information by adopting the B-spline curve fitting to make a mathematical model for statistical characteristics of a color with respect to intensity. It is based on the fact that color distribution of a single-colored object is not invariant with respect to brightness variations even in the HS (Hue-Saturation) plane. The statistical characteristics contain the mean and standard deviation of hue and saturation with respect to intensity. They are mathematically expressed as four bar graphs. In order to fit the bar graphs to continuous curves, we use B-spline curve fitting procedure. From several experimental results, we verify that the proposed algorithm is successfully applied to color segmentation under various illumination conditions. ? 2006 IEEE.-
dc.languageEnglish-
dc.publisherIEEE-
dc.titleColor segmentation robust to brightness variations by using B-spline curve modeling-
dc.typeConference-
dc.identifier.doi10.1109/IROS.2006.282443-
dc.description.journalClass1-
dc.identifier.bibliographicCitation2006 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2006, pp.4874 - 4879-
dc.citation.title2006 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2006-
dc.citation.startPage4874-
dc.citation.endPage4879-
dc.citation.conferencePlaceUS-
dc.citation.conferencePlaceBeijing-
dc.citation.conferenceDate2006-10-09-
dc.relation.isPartOfIEEE International Conference on Intelligent Robots and Systems-
dc.identifier.scopusid2-s2.0-34250665129-
Appears in Collections:
KIST Conference Paper > 2006
Files in This Item:
There are no files associated with this item.
Export
RIS (EndNote)
XLS (Excel)
XML

qrcode

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

BROWSE