Zernike moment-based image registration scheme utilizing feedforward neural networks
Jianzhen Wu, Jianying Xie · 2004
A novel image registration scheme is proposed. Low order Zernike moments are used as image global pattern features and feed into feedforward neural networks to provide translation, rotation and scaling parameters. Experimental results show that the proposed registration scheme is accurate and robust to noise.