Modified wavelet based morphological correlation for rotation-invariant recognition

A wavelet-based rotation invariant morphological correlation (WBRIMC) is proposed as a new architecture to improve the properties of the classical rotation invariant morphological correlation (RIMC). For the WBRIMC, the JPS of the RIMC is filtered by an appropriately dilated power spectrum function of wavelet. Simulation results confirm that the WBRIMC has higher discrimination capability with sharp and intense correlation signals, and is more tolerant to the salt-and-pepper noise and white additive Gaussian noise than is the Circular harmonic filter (CHF), the phase only CHF (POCHF) and the RIMC.

► A wavelet-based rotation invariant morphological correlation is proposed.
► The correlator has higher discriminability than conventional RIMC and CHF.
► This scheme has stronger tolerance to some kind of outlier noises.
► Joint power spectrum of the RIMC is filtered by an intensity function of wavelet.