干旱区生态环境知识资源中心(Arid): Directional local ternary quantized extrema pattern: A new descriptor for biomedical image indexing and retrieval

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DOI	10.1016/j.jestch.2016.05.006
	Directional local ternary quantized extrema pattern: A new descriptor for biomedical image indexing and retrieval
	Deep, G.; Kaur, L.; Gupta, S.
通讯作者	Deep, G
来源期刊	ENGINEERING SCIENCE AND TECHNOLOGY-AN INTERNATIONAL JOURNAL-JESTECH
ISSN	2215-0986
出版年	2016
卷号	19 期号:4 页码:1895-1909
英文摘要	This paper proposes a new pattern descriptor called directional local ternary quantized extrema pattern (DLTerQEP) for biomedical image indexing and retrieval. The standard local binary patterns (LBPs) and local ternary patterns (LTPs) encode the gray scale relationship between the center pixel and its surrounding neighbors in two dimensional (2D) local region of an image whereas the proposed method encodes the spatial relation between any pair of neighbors in a local region along the given directions (i.e., 0 degrees, 45 degrees, 90 degrees and 135 degrees) for a given center pixel in an image. The novelty of the proposed method is it uses ternary patterns from horizontal-vertical-diagonal-antidiagonal (HVDA(7)) structure of directional local extrema values of an image to encode more spatial structure information which lead to better retrieval. DLTerQEP also provides a significant increase in discriminative power by allowing larger local pattern neighborhoods. The experiments have been carried out for proving the worth of proposed algorithm on three different types of benchmark 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 the superiority of the proposed method in terms of average retrieval precision (ARP) and average retrieval rate (ARR) over state-of-theart feature extraction techniques like LBP, LTP and LQEP etc. (C) 2016 Karabuk University. Publishing services by Elsevier B.V.
英文关键词	Medical imaging Image retrieval Local binary patterns (LBPs) Local ternary patterns (LTPs) Directional quantized extrema patterns Texture
类型	Article
语种	英语
开放获取类型	DOAJ Gold
收录类别	ESCI
WOS记录号	WOS:000410695900027
WOS关键词	BINARY PATTERNS ; ROTATION-INVARIANT ; TEXTURAL FEATURES ; GRAY-SCALE ; SYSTEM ; CLASSIFICATION ; INTENSITY ; EFFICIENT ; MRI
WOS类目	Engineering, Multidisciplinary
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/2XILL650/331914
作者单位	[Deep, G.] Punjab Tech Univ, IET Bhaddal, Dept CSE, 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.. Directional local ternary quantized extrema pattern: A new descriptor for biomedical image indexing and retrieval[J],2016,19(4):1895-1909.
APA	Deep, G.,Kaur, L.,&Gupta, S..(2016).Directional local ternary quantized extrema pattern: A new descriptor for biomedical image indexing and retrieval.ENGINEERING SCIENCE AND TECHNOLOGY-AN INTERNATIONAL JOURNAL-JESTECH,19(4),1895-1909.
MLA	Deep, G.,et al."Directional local ternary quantized extrema pattern: A new descriptor for biomedical image indexing and retrieval".ENGINEERING SCIENCE AND TECHNOLOGY-AN INTERNATIONAL JOURNAL-JESTECH 19.4(2016):1895-1909.