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Grayscale-Inversion and Rotation Invariant Texture Description Using Sorted Local Gradient Pattern
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DOI：10.1109/LSP.2018.2809607.png)
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Abstract
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This letter introduces a novel grayscale-inversion and rotation invariant descriptor, called sorted local gradient pattern, for texture classification. First, we propose two complementary local gradient patterns (LGP), the center-to-ring LGP (LGP_CR) and the ring-to-ring LGP (LGP_RR), to encode rich gradient information present in a local neighborhood. Then, we propose to enhance LGP by encoding pixels' intensity information. This is achieved by sorting image pixels into two categories via a dominant intensity order measure, followed by extracting LGP features over the categorized pixels. As a result, local gradient information and global intensity order information are both encoded into our descriptor in a way that is robust to grayscale-inversion and rotation changes. Experiments on three texture databases demonstrate that the proposed descriptor achieves state-of-the-art classification results in the presence of linear and even nonlinear grayscale-inversion changes.
Keywords:
Illumination invariance
local binary pattern (LBP)
rotation invariance
texture classification
texture feature
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