NDLI: New design of adaptive Gabor wavelet filter bank for medical image retrieval

Content Provider	IET Digital Library
Author	Samantaray, Aswini K. Rahulkar, Amol D.
Abstract	Gabor wavelet is widely used in the analysis of texture feature. This study presents a novel feature descriptor based on the design of adaptive Gabor wavelet filter-bank for medical image retrieval. The design of proposed Gabor wavelet provides flexibility to extract the dominant directional features from medical images. First, peaks in the spectrum of medical image are analysed to determine the dominant directions present in the image. With these dominant directions, a bank of Gabor-filters is designed to extract the directional features effectively. Next, feature vector is derived by computing the energy and standard deviation from the Gabor filtered coefficients at a particular scale and orientation. The use of maximum likelihood estimation (MLE) is suggested to measure the similarity between the feature vectors of heterogeneous medical images. The performance of the proposed method is evaluated on three different publicly available databases namely NEMA, OASIS and EXACT09. The performance in terms of average retrieval precision (ARP), average retrieval rate (ARR) and computational time are compared with well-known existing methods. It is observed from experimental results that the proposed approach achieved ARP of 85.32, 85.24 and 77% and ARR of 31.33, 14.05 and 23.78% for NEMA, OASIS and EXACT09 databases respectively.
Starting Page	679
Ending Page	687
Page Count	9
ISSN	17519659
Volume Number	14
e-ISSN	17519667
Issue Number	Issue 4, Mar (2020)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-ipr/14/4
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-ipr.2019.1024
Journal	IET Image Processing
Publisher Date	2019-11-14
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Adaptive Gabor Average Retrieval Rate Biology And Medical Computing Biomedical Measurement And Imaging Computer Vision And Image Processing Technique Dominant Directional Features Feature Descriptor Feature Extraction Feature Vector Filtering Method in Signal Processing Function Theory And Analysis Gabor Filter Gabor Wavelet Basis Health Physics Heterogeneous Medical Image Image Recognition Image Retrieval Image Segmentation Image Texture Information Retrieval Technique Integral Transforms Maximum Likelihood Estimation Medical And Biomedical Uses of Field Medical Image Processing Medical Image Retrieval Patient Diagnostic Method And Instrumentation Radiations Radioactivity Statistics Texture Feature Wavelet Transform
Content Type	Text
Resource Type	Article
Subject	Signal Processing Electrical and Electronic Engineering Computer Vision and Pattern Recognition Software

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