QQ客服 官方微博 反馈留言

	In-situ particle segmentation approach based on average background modeling and graph-cut for the monitoring of L-glutamic acid crystallization
	Lu, Zhi M.; Zhu, Fan C.; Gao, Xue Y.; Chen, Bing C.; Gao, Zhen G.
刊名	CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS
	2018
卷号	178页码:11-23
关键词	Particle Image analysis Segmentation Crystal morphology Background model Graph-cut
ISSN号	0169-7439
URL标识	查看原文
WOS记录号	[DB:DC_IDENTIFIER_WOSID]
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/3264759
专题	大连理工大学
作者单位	1.Dalian Univ Technol, Fac Elect Informat & Elect Engn, Dalian 116024, Peoples R China. 2.Harbin Univ Sci & Technol, Coll Comp Sci & Technol, Harbin 150080, Heilongjiang, Peoples R China.
推荐引用方式 GB/T 7714	Lu, Zhi M.,Zhu, Fan C.,Gao, Xue Y.,et al. In-situ particle segmentation approach based on average background modeling and graph-cut for the monitoring of L-glutamic acid crystallization[J]. CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS,2018,178:11-23.
APA	Lu, Zhi M.,Zhu, Fan C.,Gao, Xue Y.,Chen, Bing C.,&Gao, Zhen G..(2018).In-situ particle segmentation approach based on average background modeling and graph-cut for the monitoring of L-glutamic acid crystallization.CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS,178,11-23.
MLA	Lu, Zhi M.,et al."In-situ particle segmentation approach based on average background modeling and graph-cut for the monitoring of L-glutamic acid crystallization".CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS 178(2018):11-23.

个性服务

查看访问统计

相关权益政策

暂无数据

收藏/分享

除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。