BRINT: BINARY ROTATION INVARIANT AND NOISE TOLERANT TEXTURE CLASSIFICATION

HATTARKI POOJA , SHRUTI Y. H.

Abstract


In this paper we propose a simple, efficient, yet robust multi-resolution approach to texture classification — Binary Rotation Invariant and Noise Tolerant (BRINT). The proposed approach is very fast to build, very compact while remaining robust to illumination variations, rotation changes and noise

Keywords


Texture descriptors, rotation invariance, local binary pattern (LBP), feature extraction, texture analysis

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