A complex network-based approach for boundary shape analysis

DOI10.1016/j.patcog.2008.07.006zbMath1162.68594OpenAlexW2008104685MaRDI QIDQ955822

André Ricardo Backes, Odemir Martinez Bruno, Dalcimar Casanova

Publication date: 20 November 2008

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

Full work available at URL: https://doi.org/10.1016/j.patcog.2008.07.006

zbMATH Keywords

shape recognitionshape analysiscomplex networksmall-world model

Mathematics Subject Classification ID

Computing methodologies for image processing (68U10) Pattern recognition, speech recognition (68T10)

Related Items (4)

Image edge detection based on local dimension: a complex networks approach ⋮ A multilayer feed forward small-world neural network controller and its application on electrohydraulic actuation system ⋮ Complex network classification using partially self-avoiding deterministic walks ⋮ Fuzzy squareness: a new approach for measuring a shape

Cites Work

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• Curvature scale space representation: Theory, applications, and MPEG-7 standardization
• Fourier and wavelet descriptors for shape recognition using neural networks -- a comparative study
• Metric structure of random networks
• Complex networks: structure and dynamics
• Statistical mechanics of complex networks
• Texture Discrimination Using Hierarchical Complex Networks
• Collective dynamics of ‘small-world’ networks

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