Combining fractal and deterministic walkers for texture analysis and classification

DOI10.1016/j.patcog.2013.03.012zbMath1326.68243OpenAlexW2050649328MaRDI QIDQ898054

Wesley Nunes Gonçalves, Odemir Martinez Bruno

Publication date: 8 December 2015

Published in: Pattern Recognition (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.patcog.2013.03.012

zbMATH Keywords

pattern recognitionfractal dimensiontexturetexture analysisdeterministic walkers

Mathematics Subject Classification ID

Computing methodologies for image processing (68U10) Pattern recognition, speech recognition (68T10) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08) Machine vision and scene understanding (68T45)

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Efficiently implementing the maximum likelihood estimator for Hurst exponent ⋮ AN EFFICIENT MAXIMUM LIKELIHOOD ESTIMATOR FOR TWO-DIMENSIONAL FRACTIONAL BROWNIAN MOTION

Cites Work

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• A note on two problems in connexion with graphs
• Image segmentation based on the integration of colour-texture descriptors -- a review
• Texture analysis and classification using deterministic tourist walk
• Texture classification using Gabor filters
• Rotation-invariant texture feature for image retrieval
• Brief review of invariant texture analysis methods

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