Content-Based Image Retrieval of Axial Brain Slices Using a Novel LBP with a Ternary Encoding | Zendy

Abraham Varghese | Zendy; Kalpana Balakrishnan | Zendy; Refin Reji Varghese | Zendy; Joseph Suresh Paul | Zendy

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Content-Based Image Retrieval of Axial Brain Slices Using a Novel LBP with a Ternary Encoding

Author(s) -

Abraham Varghese,

Kalpana Balakrishnan,

Refin Reji Varghese,

Joseph Suresh Paul

Publication year - 2014

Publication title -

the computer journal

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.319

H-Index - 64

eISSN - 1460-2067

pISSN - 0010-4620

DOI - 10.1093/comjnl/bxu008

Subject(s) - iterated function , pattern recognition (psychology) , ternary operation , local binary patterns , artificial intelligence , computer science , noise (video) , invariant (physics) , pixel , encoding (memory) , mathematics , algorithm , image (mathematics) , histogram , mathematical analysis , mathematical physics , programming language

Retrieval of similar anatomical structures of brain MR images across patients would help the expert in diagnosis of diseases. In this paper, modified local binary pattern with ternary encoding called modified local ternary pattern (MOD-LTP) is introduced, which is more discriminant and less sensitive to noise in near-uniform regions, to locate slices belonging to the same level from the brain MR i...

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