New set of multi-channel orthogonal moments for color image representation and recognition

作者：

Highlights：

• A new color image descriptor, namely multi-channel orthogonal radial substituted Chebyshev moments (MORSCMs), is introduced.

• A new method for highly accurate, fast and stable computation of MORSCMs is proposed.

• Rotation, Scaling and Translation invariants of the MORSCMs are derived.

• The proposed moments archives high recognition rates in presence of geometric and noise attacks.

• Comparison with existing methods clearly show the superiority of the new MORSCMs.

摘要

•A new color image descriptor, namely multi-channel orthogonal radial substituted Chebyshev moments (MORSCMs), is introduced.•A new method for highly accurate, fast and stable computation of MORSCMs is proposed.•Rotation, Scaling and Translation invariants of the MORSCMs are derived.•The proposed moments archives high recognition rates in presence of geometric and noise attacks.•Comparison with existing methods clearly show the superiority of the new MORSCMs.

论文关键词：Multi-channel orthogonal moments,Quaternion orthogonal moments,Chebyshev rational moments,RST,Color image reconstruction,Recognition rates

论文评审过程：Received 23 June 2017, Revised 15 September 2018, Accepted 17 November 2018, Available online 18 November 2018, Version of Record 23 November 2018.

论文官网地址：https://doi.org/10.1016/j.patcog.2018.11.014