Improvement of Interpolation Method in Cross Cumulative Residual Entropy-based Image Registration
Xiang Ya · Jisuanji gongcheng · 2015
The key strength of the Cross Cumulative Residual Entropy(CCRE)over the popular Mutual Information(MI)method is that the former has significantly larger noise immunity.But CCRE using conventional Partial Volume(PV)interpolation will result in the emergency of the local extremes on grid points,which may hamper the optimization algorithm from getting transformation parameters.In order to solve this problem,three improved PV interpolation methods are studied,including 3-order B-spline PV interpolation(BPV),Hanning windowed sinc PV interpolation(HPV)and Blackman-Harris windowed sinc PV interpolation(BHPV).Meanwhile,a new interpolation method is proposed which uses flexible neighborhood center and makes the interpolation point to distribute the weight of the joint histogram to its adjacent 9 points.Moreover,it uses a Gaussian function as the PV interpolation kernel function to overcome the mutation of weight.Experimental result shows that the registration accuracy and speed of the proposed method is higher and faster,compared with BPV,HPV and BHPV method.So it is more suitable for CCRE computing.