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Abstract

Ultrasound imaging is an important form of medical imaging, in order to improve the clinical examination and disease diagnosis in the field of wide use. In this paper, by using the basic principle of the anisotropic diffusion model, mainly aimed at the ultrasonic image speckle noise removal algorithm is studied, the improvement schemes are put forward on the direction of diffusion control, and through the simulation of ultrasonic image, in ultrasonic image edge and noise filter both qualitative quantitative data comparison, to achieve the effectiveness of the algorithm. Experiments show that the algorithm can preserve the edge and texture details of the image while removing noise.The improved anisotropic diffusion based noise reduction algorithm for B ultrasonic image is proposed in this paper. The adaptive selection of diffusion threshold K reduces the step effect after treatment. By selecting the diffusion coefficient, each diffusion has the appropriate diffusion intensity in different regions.

Keywords

Ultrasonic imaging anisotropy denoising algorithm

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Research on ultrasonic image processing algorithm based on anisotropic diffusion

Abstract

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