全球变化知识资源中心

Knowledge Resources Center for Global Change


Email:
Passwd
验证:
	换一张
Have you forgotten your password? Stay signed in Log In

globalchange > 过去全球变化的重建

DOI:	10.1371/journal.pone.0105075
论文题名:	Spatial Uncertainty Modeling of Fuzzy Information in Images for Pattern Classification
作者:	Tuan D. Pham
刊名:	PLOS ONE
ISSN:	1932-6203
出版年:	2014
发表日期:	2014-8-26
卷:	9, 期:8
语种:	英语
英文关键词:	Mitochondria ; Entropy ; Magnetic resonance imaging ; Probability distribution ; Imaging techniques ; Geostatistics ; Probability theory ; Computed axial tomography
英文摘要:	The modeling of the spatial distribution of image properties is important for many pattern recognition problems in science and engineering. Mathematical methods are needed to quantify the variability of this spatial distribution based on which a decision of classification can be made in an optimal sense. However, image properties are often subject to uncertainty due to both incomplete and imprecise information. This paper presents an integrated approach for estimating the spatial uncertainty of vagueness in images using the theory of geostatistics and the calculus of probability measures of fuzzy events. Such a model for the quantification of spatial uncertainty is utilized as a new image feature extraction method, based on which classifiers can be trained to perform the task of pattern recognition. Applications of the proposed algorithm to the classification of various types of image data suggest the usefulness of the proposed uncertainty modeling technique for texture feature extraction.
URL:	http://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0105075&type=printable
Citation statistics:
资源类型:	期刊论文
标识符:	http://119.78.100.158/handle/2HF3EXSE/19066
Appears in Collections:	过去全球变化的重建影响、适应和脆弱性科学计划与规划气候变化与战略全球变化的国际研究计划气候减缓与适应气候变化事实与影响

Files in This Item:	Download All

File Name/ File Size	Content Type	Version	Access	License
journal.pone.0105075.PDF（7611KB）	期刊论文	作者接受稿	开放获取	CC BY-NC-SA	View Download

作者单位:

Aizu Research Cluster for Medical Engineering and Informatics, Center for Advanced Information Science and Technology, The University of Aizu, Aizu-Wakamatsu, Fukushima, Japan

Recommended Citation:

Tuan D. Pham. Spatial Uncertainty Modeling of Fuzzy Information in Images for Pattern Classification[J]. PLOS ONE,2014-01-01,9(8)

Service
	Recommend this item
	Sava as my favorate item
	Show this item's statistics
	Export Endnote File
Google Scholar
	Similar articles in Google Scholar
	[Tuan D. Pham]'s Articles
百度学术
	Similar articles in Baidu Scholar
	[Tuan D. Pham]'s Articles
CSDL cross search
	Similar articles in CSDL Cross Search
	[Tuan D. Pham]‘s Articles
Related Copyright Policies
Null
收藏/分享