Improved cross cumulative residual entropy (CCRE) image registration interpolation method based on cross cumulative residual entropy of information advantage when strong noise image registration than traditional mutual, but with partial volume (PV) grid point interpolation CCRE prone to local extreme, is not conducive to transformation parameter optimization. To solve this problem, based on 3-order B-spline interpolation function PV (BPV), Hanning window sinc interpolation function PV (HPV) and Blackman-Harris window sinc interpolation function PV (BHPV) Application of CCRE, a new interpolation method. The method uses a flexible center of the neighborhood, the interpolation point joint histogram contribution weights dispersed to nine points nearby and use the Gaussian function as a PV interpolation kernel function, avoid weight changes. Experimental results show that compared with BPV, HPV and BHPV interpolation method,

鍩轰簬浜ゅ弶绱

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