Combined blur, translation, scale and rotation invariant image recognition by Radon and pseudo-Fourier-Mellin transforms

DOI10.1016/j.patcog.2011.06.017zbMath1225.68238OpenAlexW1990317771MaRDI QIDQ645866

Bin Xiao, Jiang-Tao Cui, Jian-Feng Ma

Publication date: 10 November 2011

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

Full work available at URL: https://doi.org/10.1016/j.patcog.2011.06.017

zbMATH Keywords

object recognitionblur invariantscombined invariantsrotation invariantsscale invariants

Mathematics Subject Classification ID

Pattern recognition, speech recognition (68T10)

Related Items (3)

Geometric invariant features in the Radon transform domain for near-duplicate image detection ⋮ Nonlinear Radon transform using Zernike moment for shape analysis ⋮ Similarity transformation parameters recovery based on Radon transform. application in image registration and object recognition

Cites Work

• Image analysis by Bessel-Fourier moments
• Scaling and rotation invariant analysis approach to object recognition based on Radon and Fourier-Mellin transforms
• Combined blur and affine moment invariants and their use in pattern recognition.
• Identification and restoration of noisy blurred images using the expectation-maximization algorithm
• Moments estimation in Radon space
• Blurred Image Recognition by Legendre Moment Invariants
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