Texture Classification based on First Order Local Ternary Direction Patterns

Texture Classification based on First Order Local Ternary Direction Patterns

Автор: M. Srinivasa Rao, V.Vijaya Kumar, Mhm Krishna Prasad

Журнал: International Journal of Image, Graphics and Signal Processing(IJIGSP) @ijigsp

Статья в выпуске: 2 vol.9, 2017 года.

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The local binary pattern (LBP) and local ternary pattern (LTP) are basically gray scale invariant, and they encode the binary/ ternary relationship between the neighboring pixels and central pixel based on their grey level differences and derives a unique code. These traditional local patterns ignore the directional information. The proposed method encodes the relationship between the central pixel and two of its neighboring pixel located in different angles (α, β) with different directions. To estimate the directional patterns, the present paper derived variation in local direction patterns in between the two derivates of first order and derived a unique First order –Local Direction variation pattern (FO-LDVP) code. The FO-LDVP evaluated the possible direction variation pattern for central pixel by measuring the first order derivate relationship among the horizontal and vertical neighbors (0o Vs.90o; 90o Vs. 180o ; 180o Vs.270o ; 270o Vs. 0o) and derived a unique code. The performance of the proposed method is compared with LBP, LTP, LBPv, TS and CDTM using the benchmark texture databases viz. Brodtaz and MIT VisTex. The performance analysis shows the efficiency of the proposed method over the existing methods.

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Local binary pattern (LBP), local ternary pattern (LTP), grey scale variance, derivative, direction

Короткий адрес: https://sciup.org/15014165

IDR: 15014165

Список литературы Texture Classification based on First Order Local Ternary Direction Patterns

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