液晶与显示Issue(2)：310-316,7.DOI:10.3788/YJYXS20153002.0310
一种改进的各向异性扩散超声图像去噪算法
Improved anisotropic diffusion ultrasound image denoising algorithm
摘要
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 K relying 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 dif-fusion denoising algorithms are introduced.Then,an improved diffusion model which based on adap-tive 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 K is put forward.The algorithm re-moves 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 al-gorithm etc.The FOM value of the denoised image is 3.34% higher than that of the PM model and PSNR value is 0.250 6 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 diag-nose of the diseased area for medical personnel.关键词
各向异性扩散/自适应中值滤波/扩散系数/扩散门限/超声图像Key words
anisotropic diffusion/adaptive median filtering/diffusion coefficient/diffusion threshold/ultrasound image分类
信息技术与安全科学引用本文复制引用
王亚强,陈波..一种改进的各向异性扩散超声图像去噪算法[J].液晶与显示,2015,(2):310-316,7.基金项目
国家自然科学基金资助项目(No．61202044) （No．61202044）
四川省科技创新苗子工程项目(No．20132022) （No．20132022）
