干旱区生态环境知识资源中心(Arid): Multi-hyperbolic tangent fuzzy c-means algorithm with spatial information for MRI segmentation

Arid

DOI	10.1504/IJSISE.2016.076223
	Multi-hyperbolic tangent fuzzy c-means algorithm with spatial information for MRI segmentation
	Venu, Nookala; Anuradha, B.
通讯作者	Venu, N
来源期刊	INTERNATIONAL JOURNAL OF SIGNAL AND IMAGING SYSTEMS ENGINEERING
ISSN	1748-0698
EISSN	1748-0701
出版年	2016
卷号	9 期号:3 页码:135-145
英文摘要	This paper proposes a novel image segmentation using Multi-Hyperbolic Tangent Fuzzy C-Means (HTFCM) algorithm, with spatial information for medical image segmentation. The proposed method uses two hyperbolic tangent functions with the spatial information of neighbouring pixels for clustering of images. The performance of the proposed algorithm is tested on OASIS-MRI image data set. The performance is tested in terms of score, number of iterations (NI) and execution time (TM) under different Gaussian and salt & pepper noises on OASIS-MRI data set. The results after investigating the proposed method show a significant improvement as compared to other existing methods in terms of score, NI and TM under different Gaussian and salt & pepper noises on OASIS-MRI data set.
英文关键词	segmentation clustering algorithm fuzzy hyperbolic tangent function
类型	Article
语种	英语
收录类别	ESCI
WOS记录号	WOS:000376652900001
WOS关键词	IMAGE SEGMENTATION ; FCM
WOS类目	Engineering, Electrical & Electronic
WOS研究方向	Engineering
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/331534
作者单位	[Venu, Nookala; Anuradha, B.] Sri Venkateswara Univ, Dept Elect & Commun Engn, Tirupati 517502, Andhra Pradesh, India
推荐引用方式 GB/T 7714	Venu, Nookala,Anuradha, B.. Multi-hyperbolic tangent fuzzy c-means algorithm with spatial information for MRI segmentation[J],2016,9(3):135-145.
APA	Venu, Nookala,&Anuradha, B..(2016).Multi-hyperbolic tangent fuzzy c-means algorithm with spatial information for MRI segmentation.INTERNATIONAL JOURNAL OF SIGNAL AND IMAGING SYSTEMS ENGINEERING,9(3),135-145.
MLA	Venu, Nookala,et al."Multi-hyperbolic tangent fuzzy c-means algorithm with spatial information for MRI segmentation".INTERNATIONAL JOURNAL OF SIGNAL AND IMAGING SYSTEMS ENGINEERING 9.3(2016):135-145.