Adaptive fractional differentiation Harris corner detection algorithm for vision measurement of surface roughness

DOI10.1155/2014/494237zbMath1291.94017OpenAlexW2002251606WikidataQ59045999 ScholiaQ59045999MaRDI QIDQ2248370

Rui-Yin Tang, Zhou-Mo Zeng

Publication date: 26 June 2014

Published in: Advances in Mathematical Physics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2014/494237

Mathematics Subject Classification ID

Computing methodologies for image processing (68U10) Pattern recognition, speech recognition (68T10) Fractional derivatives and integrals (26A33) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08) Detection theory in information and communication theory (94A13)

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Lagrangian and Hamiltonian mechanics on fractals subset of real-line
• Fractional conservation laws in optimal control theory
• On the quadratic mapping \(z\rightarrow z^{2}-\mu \) for complex \(\mu \) and \(z\): the fractal structure of its set, and scaling
• Fractional dynamics, Cantorian space-time and the gauge hierarchy problem
• An historical perspective on fractional calculus in linear viscoelasticity
• Applications of Fractional Calculus to the Theory of Viscoelasticity
• Exact Solutions of Fractional-Order Biological Population Model
• A disordered microstructure material model based on fractal geometry and fractional calculus
• Nonlinear and Complex Dynamics

This page was built for publication: Adaptive fractional differentiation Harris corner detection algorithm for vision measurement of surface roughness