A synthetic registration method for multi-modal images based on dynamic credibility

A synthetic registration method based on dynamic credibility is proposed to investigate infrared images and their visible light counterparts. Mutual information and alignment metric are adopted together with edge detection and equalization to form a synthetic method composed of six individual metric. Dynamic credibility is put forward to measure the correctness and the essentiality of the six methods during the course of integration. It is proved that the synthetic registration method based on dynamic credibility is more accurate than any individual registration method. And the synthetic registration method has high robustness. Besides, the credibility can be corrected with the ceaseless registrations for multi-modal images. It has strong adaptability.