3D-local oriented zigzag ternary co-occurrence fused pattern for biomedical CT image retrieval-Reference-Cited by-同舟云学术

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3D-local oriented zigzag ternary co-occurrence fused pattern for biomedical CT image retrieval

Published:2020-07-30 Issue:3 Volume:10 Page:345-357
ISSN:2093-9868
Container-title:Biomedical Engineering Letters
language:en
Short-container-title:Biomed. Eng. Lett.

Author:

Hatibaruah Rakcinpha,Nath Vijay Kumar,Hazarika Deepika

Funder

Digital India Corporation (formerly Media Lab Asia), Ministry of Electronics and Information Technology, Govt. of India

Publisher

Springer Science and Business Media LLC

Subject

Biomedical Engineering

Link

https://link.springer.com/content/pdf/10.1007/s13534-020-00163-8.pdf

Reference25 articles.

1. Agarwal M, Singhal A, Lall B. 3d local ternary co-occurrence patterns for natural, texture, face and bio medical image retrieval. Neurocomputing. 2018;313:333–45.

2. Dubey SR. Local directional relation pattern for unconstrained and robust face retrieval. Multimed Tools Appl. 2019;78(19):28063–88.

3. Dubey SR, Singh SK, Singh RK. Local diagonal extrema pattern: a new and efficient feature descriptor for ct image retrieval. IEEE Signal Process Lett. 2015;22(9):1215–9.

4. Dubey SR, Singh SK, Singh RK. Local wavelet pattern: a new feature descriptor for image retrieval in medical ct databases. IEEE Trans Image Process. 2015;24(12):5892–903.

5. Dubey SR, Singh SK, Singh RK. Local bit-plane decoded pattern: a novel feature descriptor for biomedical image retrieval. IEEE J Biomed Health Inform. 2016;20(4):1139–47.

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