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2003 | OriginalPaper | Buchkapitel

Multi-scale Binary Patterns for Texture Analysis

verfasst von : Topi Mäenpää, Matti Pietikäinen

Erschienen in: Image Analysis

Verlag: Springer Berlin Heidelberg

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This paper presents two novel ways of extending the local binary pattern (LBP) texture analysis operator to multiple scales. First, large-scale texture patterns are detected by combining exponentially growing circular neighborhoods with Gaussian low-pass filtering. Second, cellular automata are proposed as a way of compactly encoding arbitrarily large circular neighborhoods. The performance of the extensions is evaluated in classifying natural textures from the Outex database.

Metadaten
Titel
Multi-scale Binary Patterns for Texture Analysis
verfasst von
Topi Mäenpää
Matti Pietikäinen
Copyright-Jahr
2003
Verlag
Springer Berlin Heidelberg
DOI
https://doi.org/10.1007/3-540-45103-X_117

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