干旱区生态环境知识资源中心(Arid): Content based medical image retrieval based on new efficient local neighborhood wavelet feature descriptor

Arid

DOI	10.1007/s13534-019-00112-0
	Content based medical image retrieval based on new efficient local neighborhood wavelet feature descriptor
	Shinde, Amita; Rahulkar, Amol; Patil, Chetankumar
通讯作者	Shinde, A
来源期刊	BIOMEDICAL ENGINEERING LETTERS
ISSN	2093-9868
EISSN	2093-985X
出版年	2019
卷号	9 期号:3 页码:387-394
英文摘要	This paper presents a new class of local neighborhood based wavelet feature descriptor (LNWFD) for content based medical image retrieval (CBMIR). To retrieve images effectively from large medical databases is backbone of diagnosis. Existing wavelet transform based medical image retrieval methods suffer from high length feature vector with confined retrieval performance. Triplet half-band filter bank (THFB) enhanced the properties of wavelet filters using three kernels. The influence of THFB has employed in the proposed method. First, triplet half-band filter bank (THFB) is used for single level wavelet decomposition to obtain four sub-bands. Next, the relationship among wavelet coefficients is exploited at each sub-band using 3 x 3 neighborhood window to form LNWFD pattern. The novelty of the proposed descriptor lies in exploring relation between wavelet transform values of pixels rather than intensity values which gives more detail local information in wavelet sub-bands. Thus, proposed feature descriptor is robust against illumination. Manhattan distance is used to compute similarity between query feature vector and feature vector of database. The proposed method is tested for medical image retrieval using OASIS-MRI, NEMA-CT, and Emphysema-CT databases. The average retrieval precisions achieved are 71.45%, 99.51% of OASIS-MRI and NEMA-CT databases for top ten matches considered respectively and 55.51% of Emphysema-CT database for top 50 matches. The superiority in terms of performance of the proposed method is confirmed by the experimental results over the well-known existing descriptors.
英文关键词	Medical image retrieval Feature extraction Local neighborhood wavelet feature descriptor Triplet half-band filter bank Wavelet decomposition
类型	Article
语种	英语
开放获取类型	Green Published
收录类别	ESCI
WOS记录号	WOS:000481434100011
WOS关键词	EXTREMA PATTERN ; DESIGN ; TRIPLET
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/2XILL650/333743
作者单位	[Shinde, Amita; Patil, Chetankumar] Coll Engn Pune, Instrumentat & Control, Pune, Maharashtra, India; [Rahulkar, Amol] Natl Inst Technol Goa, Elect & Elect Engn, Farmagudi, India
推荐引用方式 GB/T 7714	Shinde, Amita,Rahulkar, Amol,Patil, Chetankumar. Content based medical image retrieval based on new efficient local neighborhood wavelet feature descriptor[J],2019,9(3):387-394.
APA	Shinde, Amita,Rahulkar, Amol,&Patil, Chetankumar.(2019).Content based medical image retrieval based on new efficient local neighborhood wavelet feature descriptor.BIOMEDICAL ENGINEERING LETTERS,9(3),387-394.
MLA	Shinde, Amita,et al."Content based medical image retrieval based on new efficient local neighborhood wavelet feature descriptor".BIOMEDICAL ENGINEERING LETTERS 9.3(2019):387-394.