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- W2012503801 abstract "This paper proposes a new methodology for micro pattern analysis in digital images based on fuzzy numbers. A micro-pattern is the structure of the gray-level pixels within a neighborhood and can describe the spatial context of the image, such as edge, line, spot, blob, corner, texture, and more complex patterns. By treating a pixel neighborhood as a fuzzy set and each pixel gray-level as a fuzzy number, we can evaluate the membership degree of the central pixel to the others. We have called this method the Local Fuzzy Pattern (LFP). Using a sigmoid membership function, we proved that the proposed methodology surpasses the Hit-rate of the Local Binary Pattern (LBP), for texture classification. The LFP proved to be robust to image rotation. Moreover, our proposed formulation for the LFP is a generalization of previously published techniques, such as Texture Unit, LBP, FUNED, and Census Transform." @default.
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- W2012503801 date "2012-08-01" @default.
- W2012503801 modified "2023-10-05" @default.
- W2012503801 title "Image Micro-pattern Analysis Using Fuzzy Numbers" @default.
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- W2012503801 doi "https://doi.org/10.1109/sibgrapi.2012.21" @default.
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