NDLI: Novel local bit-plane dissimilarity pattern for computed tomography image retrieval

Content Provider	IET Digital Library
Author	Dubey, Shiv Ram Singh, Satish Kumar Singh, Rajat Kumar
Abstract	The performance of any image retrieval system relies over the image descriptor used for matching. The recently proposed descriptors mainly suffer due to the ‘less discriminative power’ and ‘curse of dimensionality’. A novel image descriptor using local bit-plane dissimilarity pattern (LBDISP) is introduced. The descriptor is computed by finding the dissimilarity map between the centre pixel and its neighbours over each bit-plane. The relationship between the centre pixel and dissimilarity map is then encoded to form the LBDISP descriptor. The dimension of the descriptor depends upon the number of neighbours only. A retrieval experiment over NEMA-CT database confirms the superiority and efficiency of the LBDISP descriptor.
Starting Page	1290
Ending Page	1292
Page Count	3
ISSN	00135194
Volume Number	52
e-ISSN	1350911X
Issue Number	Issue 15, Jul (2016)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/el/52/15
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/el.2016.1206
Journal	Electronics Letters
Publisher Date	2016-06-17
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Biology And Medical Computing Biomedical Imaging/measurement Computed Tomography Image Retrieval Computer Vision And Image Processing Technique Computerised Tomography Curse of Dimensionality Dissimilarity Map Image Descriptor Image Matching Image Recognition Image Retrieval Information Retrieval Technique LBDISP Descriptor Local Bit-plane Dissimilarity Pattern Medical Image Processing NEMA-CT Database Patient Diagnostic Method And Instrumentation Radiography And Computed Tomography X-Ray Technique X-Rays And Particle Beam
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering

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