Noise-removing Algorithm for Fluorescein Angiogram of Diabetic Retinopathy

摘要：

Diabetic retinopathy is present in nearly all persons who have had diabetes eventually suffer. Fluorescein angiography is an important method to examine the diabetic retinopathy. Aiming at the contamination of the fluorescein angiogram by salt-and-pepper noise and the blurred by the diabetic cataract, an efficient noise adaptive fuzzy switching median (NAFSM) filter was used to remove the noise as well as enhance the fluorescein angiogram. The image processing result shows that the NAFSM filter is able to suppress salt-and-pepper noise, at the same time preserving fine image details, edges and textures, which is an efficient noise-removing algorithm for fluorescein angiogram of diabetic retinopathy.

关键词： fluorescein angiography diabetic retinopathy salt-and-pepper noise cataract noise adaptive fuzzy switching median filter

作者: Zhang Jie Li Shi-Yun

作者单位: School of Mechanical Engineering Southwest Jiaotong University ChengDu, China Affiliated Hospital of ChengDu University ChengDu, China

会议类型: 国际会议

会议名称: 2011 4th International Conference on Biomedical Engineering and Informatics(第四届生物医学工程与信息学国际会议 BMEI 2011)

会议地点: 上海

会议语种:英文

页码: 418-420

在线出版日期: 2011-10-15（万方平台首次上网日期，不代表论文的发表时间）