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- W3141444227 abstract "In the traditional anisotropic diffusion algorithm,for the result of the smoothing effect of diffusion coefficient function is not good,the value of diffusion threshold Krelying on the experience and the protection of image details is inadequate in the diffusion process.To solve above problems,an improved anisotropic diffusion algorithm is put forward.First,several current typical anisotropic diffusion denoising algorithms are introduced.Then,an improved diffusion model which based on adaptive median filtering is put forward on the basis of typical algorithm analysis.And then,an improved diffusion coefficient function in improved diffusion model is put forward according to three conditions which the diffusion coefficient function should satisfy and the classical diffusion coefficient function.Finally,a method of adaptive selection of the diffusion threshold Kis put forward.The algorithm removes noise in ultrasound images by using the improved diffusion coefficient function in the modified diffusion model and combining adaptive selection of the diffusion threshold.The experimental results show that the proposed algorithm outperforms the PM model,Catte model,the Wang Changhong algorithm etc.The FOM value of the denoised image is 3.34% higher than that of the PM model andPSNR value is 0.2506 higher than the PM model.The algorithm effectively removes speckle noise and at the same time protects image details and edges effectively and it contributes to accurate diagnose of the diseased area for medical personnel." @default.
- W3141444227 created "2021-04-13" @default.
- W3141444227 creator A5011791047 @default.
- W3141444227 date "2015-01-01" @default.
- W3141444227 modified "2023-09-28" @default.
- W3141444227 title "Improved anisotropic diffusion ultrasound image denoising algorithm" @default.
- W3141444227 hasPublicationYear "2015" @default.
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