Microscopic Images Restoration of Chinese Herbal Medicine Using the TV Model

Chinese herbal medicine (CHM) samples defiled, extraction of microscopic images, collection site light not equal and images collected uneven illumination point which can make the acquisition of CHM microscopic images sub- ject to different unfavorable factors. Those often make microscopic images of CHM become blurred or introduce noise. In this paper, some restoration methods for the microscopic images of CHM using the total variation (TV) model are put forward. Firstly, the microscopic images of CHM are blurred utilizing the two dimensional different Gaussian convolution kernels and different Gauss white noise are added, and then the damaged images are restored by using the improved TV model. The TV restoration results are compared with the results using Wiener filtering, median filtering method etc. The theoretical analysis and experimental results show that the novel method is effectively able to restore image, and maintain the image detail information.

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