干旱区生态环境知识资源中心(Arid): Local mesh ternary patterns: a new descriptor for MRI and CT biomedical image indexing and retrieval

Arid

DOI	10.1080/21681163.2016.1193447
	Local mesh ternary patterns: a new descriptor for MRI and CT biomedical image indexing and retrieval
	Deep, G.; Kaur, L.; Gupta, S.
通讯作者	Deep, G
来源期刊	COMPUTER METHODS IN BIOMECHANICS AND BIOMEDICAL ENGINEERING-IMAGING AND VISUALIZATION
ISSN	2168-1163
EISSN	2168-1171
出版年	2018
卷号	6 期号:2 页码:155-169
英文摘要	This paper proposes a new pattern-based feature called local mesh ternary pattern for biomedical image indexing and retrieval. The standard local binary patterns (LBP) and local ternary patterns (LTP) encode the greyscale relationship between the centre pixel and its surrounding neighbours in two-dimensional (2D) local region of an image, whereas the proposed method encodes the greyscale relationship among the neighbours for a given centre pixel with three selected directions of mesh patterns which is generated from 2D image. The novelty of the proposed method is that it uses ternary patterns from mesh patterns of an image to encode more spatial structure information which leads to better retrieval. The experiments have been carried out for proving the worth of proposed algorithm on three different types of benchmarked biomedical databases; (i) computed tomography (CT) scanned lung image databases named as LIDC-IDRI-CT and VIA/I-ELCAP-CT, (ii) brain magnetic resonance imaging (MRI) database named as OASIS-MRI. The results demonstrate that the proposed method yields better performance in terms of average retrieval precision and average retrieval rate over state-of-the-art feature extraction techniques like LBP, LTP, local mesh pattern, etc.
英文关键词	Medical imaging image retrieval local binary patterns (LBP) local ternary patterns (LTP) local mesh patterns (LMeP) texture
类型	Article
语种	英语
收录类别	ESCI
WOS记录号	WOS:000429794900004
WOS关键词	BINARY PATTERNS ; COOCCURRENCE MATRICES ; ROTATION-INVARIANT ; TEXTURAL FEATURES ; CLASSIFICATION
WOS类目	Engineering, Biomedical
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/2XILL650/332753
作者单位	[Deep, G.] Punjab Tech Univ, Dept CSE, IET Bhaddal, Ropar, India; [Kaur, L.] Punjabi Univ Pb, Dept CE, Patiala, Punjab, India; [Gupta, S.] PU, UIET, Dept CSE, Chandigarh, India
推荐引用方式 GB/T 7714	Deep, G.,Kaur, L.,Gupta, S.. Local mesh ternary patterns: a new descriptor for MRI and CT biomedical image indexing and retrieval[J],2018,6(2):155-169.
APA	Deep, G.,Kaur, L.,&Gupta, S..(2018).Local mesh ternary patterns: a new descriptor for MRI and CT biomedical image indexing and retrieval.COMPUTER METHODS IN BIOMECHANICS AND BIOMEDICAL ENGINEERING-IMAGING AND VISUALIZATION,6(2),155-169.
MLA	Deep, G.,et al."Local mesh ternary patterns: a new descriptor for MRI and CT biomedical image indexing and retrieval".COMPUTER METHODS IN BIOMECHANICS AND BIOMEDICAL ENGINEERING-IMAGING AND VISUALIZATION 6.2(2018):155-169.