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Comprehensive evaluation of special equipment safety risk based on coordination theory

Author:
Wang Xiao-jian
,
Liang Xue-dong
,
Yu Xin-yi
,
Wang Da
,
Ye Yu-lin
Publisher:
IEEE
Year
: 2014
DOI: 10.1109/ICCSP.2014.6949960
URI: https://libsearch.um.ac.ir:443/fum/handle/fum/1041479
Keyword(s): image segmentation,natural scenes,pattern clustering,trees (mathematics),3D scene,3D sensing hardware,MST,cluttered object group,depth channel,image processing,image segmentation,level clustering,minimum spanning tree,point cloud segmentation,weighted planar graph,Floors,Image segmentation,Sensors,Minimum Spanning Tree,Normal,Principal Curvature,RGBD Images,Segmentation
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    Comprehensive evaluation of special equipment safety risk based on coordination theory

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contributor authorWang Xiao-jian
contributor authorLiang Xue-dong
contributor authorYu Xin-yi
contributor authorWang Da
contributor authorYe Yu-lin
date accessioned2020-03-12T21:13:46Z
date available2020-03-12T21:13:46Z
date issued2014
identifier other6930257.pdf
identifier urihttps://libsearch.um.ac.ir:443/fum/handle/fum/1041479?locale-attribute=en
formatgeneral
languageEnglish
publisherIEEE
titleComprehensive evaluation of special equipment safety risk based on coordination theory
typeConference Paper
contenttypeMetadata Only
identifier padid8168863
subject keywordsimage segmentation
subject keywordsnatural scenes
subject keywordspattern clustering
subject keywordstrees (mathematics)
subject keywords3D scene
subject keywords3D sensing hardware
subject keywordsMST
subject keywordscluttered object group
subject keywordsdepth channel
subject keywordsimage processing
subject keywordsimage segmentation
subject keywordslevel clustering
subject keywordsminimum spanning tree
subject keywordspoint cloud segmentation
subject keywordsweighted planar graph
subject keywordsFloors
subject keywordsImage segmentation
subject keywordsSensors
subject keywordsMinimum Spanning Tree
subject keywordsNormal
subject keywordsPrincipal Curvature
subject keywordsRGBD Images
subject keywordsSegmentation
identifier doi10.1109/ICCSP.2014.6949960
journal titleanagement Science & Engineering (ICMSE), 2014 International Conference on
filesize431778
citations0
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