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DOI	10.1016/j.bspc.2019.01.009
	A new approach for effective retrieval and indexing of medical images
	Aggarwal, Ashutosh 1; Sharma, Suchita 2; Singh, Karamjeet 1; Singh, Harpreet 3; Kumar, Sunil 4
通讯作者	Aggarwal, Ashutosh
来源期刊	BIOMEDICAL SIGNAL PROCESSING AND CONTROL
ISSN	1746-8094
EISSN	1746-8108
出版年	2019
卷号	50 页码:10-34
英文摘要	The use of medical imaging has increased manifold in past decade. The medical images have become more and more informative about the patient's anatomy. Thus, the medical images are now not only used for diagnosis purpose but also stored for R&D purpose in order to have better understanding and deeper insights into the cause and cure of various diseases. For real-time retrieval of medical images from such storage repositories there is a grave need of an effective and efficient biomedical image indexing and retrieval approach. In this quest, this paper presents a new approach for the retrieval of CT and MR images using orthogonal Fourier-Mellin moments (OFMMs). OFMMs have excellent information representation capability that enables them to pack the entire image information in very less number of coefficients. This property makes the proposed approach not only effective but also computationally very efficient and most favorable among all the existing approaches. The proposed approach has been tested and compared with numerous existing, state-of-the-art as well as recently published biomedical indexing and retrieval approaches on four standard databases namely, Emphysema Cr, NEMA Cr, NEMA MRI and OASIS MRI. Additional experiments have been conducted to analyze the noise robustness ability of the proposed and all the compared approaches. The reported results show a significant increase of about 7% and 20% (average) in the retrieval rate of the proposed approach over all the existing approaches on noise free and noisy images, respectively, of all four test medical databases. (C) 2019 Elsevier Ltd. All rights reserved.
英文关键词	Biomedical image retrieval Orthogonal moments Noise robustness
类型	Article
语种	英语
国家	India
收录类别	SCI-E
WOS记录号	WOS:000460850800002
WOS关键词	LOCAL BINARY PATTERNS ; FEATURE DESCRIPTOR ; TERNARY PATTERNS ; EXTREMA PATTERN ; TEXTURE ; RECOGNITION ; EFFICIENT ; MRI ; CLASSIFICATION ; COMPUTATION
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/2XILL650/214657
作者单位	1.Thapar Inst Engn & Technol, Dept Comp Sci & Engn, Patiala, Punjab, India; 2.Marwadi Univ, Dept Comp Engn, Rajkot, Gujarat, India; 3.DAV Univ, Dept Comp Sci & Engn, Jalandhar, Punjab, India; 4.Guru Angad Dev Vet & Anim Sci Univ, Directorate Livestock Farms, Ludhiana, Punjab, India
推荐引用方式 GB/T 7714	Aggarwal, Ashutosh,Sharma, Suchita,Singh, Karamjeet,et al. A new approach for effective retrieval and indexing of medical images[J],2019,50:10-34.
APA	Aggarwal, Ashutosh,Sharma, Suchita,Singh, Karamjeet,Singh, Harpreet,&Kumar, Sunil.(2019).A new approach for effective retrieval and indexing of medical images.BIOMEDICAL SIGNAL PROCESSING AND CONTROL,50,10-34.
MLA	Aggarwal, Ashutosh,et al."A new approach for effective retrieval and indexing of medical images".BIOMEDICAL SIGNAL PROCESSING AND CONTROL 50(2019):10-34.