基于模糊各向异性的骨科CT图像去噪  

Diffusion Orthopedic CT Image Denoising Based on Fuzzy Anisotropic

作　　者：王鹏[1,2] 王明泉[1,2] 韩婧[1,2] 

机构地区：[1]中北大学仪器科学与动态测试重点实验室,山西太原030051 [2]中北大学信息与通信工程学院,山西太原030051

出　　处：《电视技术》2013年第7期4-5,28,共3页Video Engineering

基　　金：国家自然科学基金项目(6171177);山西省工业攻关项目(20110321073)

摘　　要：针对人体骨骼CT图像去噪时,在抑制噪声的同时边缘也会变模糊这一情况,采用了基于模糊各向异性扩散的骨科CT图像去噪方法,可有效降低骨骼图像的噪声,在降噪的同时能更好地保留边缘细节。一幅清晰的CT图像对于骨折部位的确定与骨折程度的判断有着重要意义。故要使骨骼图像细节明显,需要对骨骼图像降低噪声。实验表明该方法能够求得一个较为合理的梯度阈值,在除去图像噪声的同时,能够较好地保留图像的边缘和细节。While human bones CT images denoising, there is a conflict between noise suppression and edge blurring. Using the fuzzy anisotropic diffu- sion denoising algorithm can effectively reduce the noise of the skeletal image. A clear CT images is of great significance for the determination of the frac- ture site and the judgment of the fracture degree. Therefore, these noises are reduced, so that the skeleton image can show more details. This paper pres- ents an orthopedic CT image de-noising method based on fuzzy anisotropic diffusion. Experiments show that this method can obtain a more reasonable gradient threshold,reducing image noise while preserving image edges and details.

关 键 词：模糊各向异性 隶属度 模糊熵 偏微分方程 去噪 

分 类 号：TN911.73[电子电信—通信与信息系统]