干旱区生态环境知识资源中心(Arid): An efficient content-basedmedical image indexing and retrieval using local texture feature descriptors

Arid

DOI	10.1007/s13735-019-00176-9
	An efficient content-basedmedical image indexing and retrieval using local texture feature descriptors
	Biswas, Ranjit; Roy, Sudipta; Purkayastha, Debraj
通讯作者	Biswas, R
来源期刊	INTERNATIONAL JOURNAL OF MULTIMEDIA INFORMATION RETRIEVAL
ISSN	2192-6611
EISSN	2192-662X
出版年	2019
卷号	8 期号:4 页码:217-231
英文摘要	This paper presents an efficient medical image indexing and retrieval method using two new proposed feature descriptors named as threshold local binary AND pattern (TLBAP) and local adjacent neighborhood average difference pattern (LANADP). In basic local binary pattern (LBP), every center pixel is considered as a threshold to generate the binary pattern, whereas in the proposed method a threshold value is calculated using the highest pixel intensity of the neighboring pixels to construct the threshold local binary pattern (TLBP). Thereafter, logical AND operation is performed between LBP and TLBP pattern to produce TLBAP pattern. The objective of the other feature descriptor named here as LANADP is to explore the relationship of neighboring pixels with its adjacent neighbors in vertical, horizontal and diagonal directions. In the proposed work, both TLBAP and LANADP features are concatenated in the form of the histograms to generate the final features vector and the performance of the system is evaluated. To test the effectiveness of the proposed method, three publicly available medical image databases, namely OASIS-MRI brain images, NEMA-CT images and VIA/ELCAP-CT images, are used. Two measures, viz. average retrieval precision and average retrieval rate, have been used to evaluate the performance of the method proposed which is further compared with some existing local pattern-based methods. The experimental results show that the proposed methods give better results as compared to the other existing methods considered in this study.
英文关键词	Local binary pattern (LBP) Threshold local binary AND pattern (TLBAP) Local adjacent neighborhood average difference pattern (LANADP) Feature extraction Medical image retrieval
类型	Article
语种	英语
收录类别	ESCI
WOS记录号	WOS:000514850500003
WOS关键词	BINARY PATTERNS ; COOCCURRENCE PATTERN ; EXTREMA ; CLASSIFICATION ; COLOR ; FACE ; MRI ; RECOGNITION
WOS类目	Computer Science, Artificial Intelligence ; Computer Science, Software Engineering
WOS研究方向	Computer Science
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/334112
作者单位	[Biswas, Ranjit] Ramkrishna Mahavidyalaya, Dept Informat Technol, Kailashahar 799277, Tripura, India; [Roy, Sudipta; Purkayastha, Debraj] Assam Univ, Dept Comp Sci & Engn, Silchar 788011, India
推荐引用方式 GB/T 7714	Biswas, Ranjit,Roy, Sudipta,Purkayastha, Debraj. An efficient content-basedmedical image indexing and retrieval using local texture feature descriptors[J],2019,8(4):217-231.
APA	Biswas, Ranjit,Roy, Sudipta,&Purkayastha, Debraj.(2019).An efficient content-basedmedical image indexing and retrieval using local texture feature descriptors.INTERNATIONAL JOURNAL OF MULTIMEDIA INFORMATION RETRIEVAL,8(4),217-231.
MLA	Biswas, Ranjit,et al."An efficient content-basedmedical image indexing and retrieval using local texture feature descriptors".INTERNATIONAL JOURNAL OF MULTIMEDIA INFORMATION RETRIEVAL 8.4(2019):217-231.