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DOI	10.1080/21681163.2017.1344933
	Local quantized extrema quinary 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	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:6 页码:687-703
英文摘要	In this paper a new feature descriptor 'local quantized extrema quinary pattern (LQEQryP)' is proposed for biomedical image indexing and retrieval. The binary and non-binary codings such as local binary patterns (LBP), local ternary patterns (LTP) and local quinary patterns (LQP) encode the gray scale relationship between the centre pixel and its surrounding neighbours in two dimensional (2D) local region of an image, whereas the proposed method encodes the spatial relation between any pair of neighbours in a local region along the given directions (i.e. 0 degrees, 45 degrees, 90 degrees and 135 degrees) for a given centre pixel in an image. The novelty of the proposed method is it uses quinary pattern features 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. LQEQryP also provides a significant increase in discriminative power by allowing larger local pattern neighbourhoods. 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-the-art feature extraction techniques such as LBP, LTP and LQEP, etc.
英文关键词	Medical imaging image retrieval local binary patterns (LBP) local quinary patterns (LOP) directional quantized extrema patterns texture
类型	Article
语种	英语
收录类别	ESCI
WOS记录号	WOS:000471725800010
WOS关键词	ROTATION-INVARIANT ; BINARY PATTERNS ; TEXTURAL FEATURES ; CLASSIFICATION ; EFFICIENT ; SYSTEM ; COLOR ; MRI
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/2XILL650/333349
作者单位	[Deep, G.] Chandigarh Engn Coll, Dept Comp Sci & Engn, Landran, Mohali, India; [Kaur, L.] Punjabi Univ, Dept CE, Patiala, Punjab, India; [Gupta, S.] PU, Dept CSE, UIET, Chandigarh, India
推荐引用方式 GB/T 7714	Deep, G.,Kaur, L.,Gupta, S.. Local quantized extrema quinary pattern: a new descriptor for biomedical image indexing and retrieval[J],2018,6(6):687-703.
APA	Deep, G.,Kaur, L.,&Gupta, S..(2018).Local quantized extrema quinary pattern: a new descriptor for biomedical image indexing and retrieval.COMPUTER METHODS IN BIOMECHANICS AND BIOMEDICAL ENGINEERING-IMAGING AND VISUALIZATION,6(6),687-703.
MLA	Deep, G.,et al."Local quantized extrema quinary pattern: a new descriptor for biomedical image indexing and retrieval".COMPUTER METHODS IN BIOMECHANICS AND BIOMEDICAL ENGINEERING-IMAGING AND VISUALIZATION 6.6(2018):687-703.