A robust algorithm for the fractal dimension of images and its applications to the classification of natural images and ultrasonic liver images

DOI10.1016/j.sigpro.2009.12.010zbMath1197.94072OpenAlexW2090920359MaRDI QIDQ1957767

Kai-Sheng Hsieh, Wen-Li Lee

Publication date: 27 September 2010

Published in: Signal Processing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.sigpro.2009.12.010

zbMATH Keywords

pattern recognitionmultiresolution analysiswavelet transformfractal dimensionbox-counting

Mathematics Subject Classification ID

Signal theory (characterization, reconstruction, filtering, etc.) (94A12)

Related Items (7)

The research of feature extraction method of liver pathological image based on multispatial mapping and statistical properties ⋮ Round-off stability for multi-valued maps ⋮ Discriminating image textures with the multiscale two-dimensional complexity-entropy causality plane ⋮ Exploiting the synergy between fractal dimension and lacunarity for improved texture recognition ⋮ Analytical formulation of the fractal dimension of filtered stochastic signals ⋮ ON THE STABILITY OF NOOR ITERATIVE SCHEME FOR ZAMFIRESCU MULTI-VALUED CONTRACTION MAPPING IN METRIC SPACES ⋮ FRACTAL DIMENSION-BASED GENERALIZED BOX-COUNTING TECHNIQUE WITH APPLICATION TO GRAYSCALE IMAGES

Cites Work

• Texture image retrieval based on non-tensor product wavelet filter banks
• On the optimal number of scales in estimation of fractal signals using wavelets and filter banks
• Fractal analysis with applications to seismological pattern recognition of underground nuclear explosions.
• A MODIFIED BOX-COUNTING METHOD
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