Ryusuke Nosaka

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In this paper, we propose a new image feature based on spatial co-occurrence among micropatterns, where each micropattern is represented by a Local Binary Pattern (LBP). In conventional LBP-based features such as LBP histograms, all the LBPs of micropatterns in the image are packed into a single histogram. Doing so discards important information concerning(More)
In this paper, we propose a new type of local binary pattern (LBP)-based feature, called Rotation Invariant Co-occurrence among adjacent LBPs (RIC-LBP), which simultaneously has characteristics of rotation invariance and a high descriptive ability. LBP was originally designed as a texture description for a local region, called a micropattern, and has been(More)
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