When the influence of noise

interpolation and image modality is considered

the image registration method based on mutual information or normalized mutual information may cause local extrema

small convergence area

and even inaccurate registration.According to a simple Schur concave function and the definition of Jensen-Schur measure

generalized divergence measure and f information measure

six new measures were constructed.The Schur function with special concave characteristics can filter the small probability distribution caused by noise

interpolation and so on.The characters of six new measures

mutual information and normalized mutual information are analyzed and compared by applying them to rigid registration.The results of tests show that Jensen-Schur-beta and D-beta measures outperform other measures in convergence performance and noise immunity

and they are time saving in comparison with mutual information and normalized mutual information measures.