Fig. 1. Standard deviation prediction of the volume image noise. (a) Simulated 3D speckle image and its gray scale histogram; (b) noise prediction value and its error

Fig. 2. Prediction of the CT volume image noise. (a) Experimental equipment; (b) standard deviation of the volume image noise before and after filtering; (c) physical image of the specimen and its CT slice image

Fig. 3. Noise analysis of the image before filtering. (a) MBE; (b) SD; (c) RMSE; (d) ZNCC

Fig. 4. Effect of Gaussian filtering on 3 methods. (a) MBE; (b) SD; (c) RMSE; (d) ZNCC

Fig. 5. Analysis of the influence of noise after filtering. (a) MBE; (b) SD; (c) RMSE; (d) ZNCC

Fig. 6. Displacement u and ZNCC coefficient of the rescan experiment. (a) Method 1; (b) method 3

Fig. 7. Uniaxial compression experiment of the polymer material. (a) VOI; (b) gray level distribution histogram of the VOI

Fig. 8. Results of polymer compression experiments. (a) Displacement u; (b) displacement v; (c) displacement w; (d) ZNCC cofficient