摘要
根据眼底荧光血管造影图像的特点,分别利用阈值分割法与BP神经网络算法对眼底造影血管图像及眼底病变区域图像进行分割与对比,使临床医生可以得到病变面积的较精确的测量数据,观察到更细微的血管变化,为与此相关的心、脑血管系统和糖尿病的诊治提供重要依据。
According to fundus fluorescein angiography images characteristics,separately carries on the division and the contrast using the threshold value division law and the BP neural network algorithm to the fundus angiography blood vessel image and the pathological change region image,enables clinician to be possible to obtain the pathological change area precise metrical data,observes the slighter blood vessel change,for with this related heart,the blood vessel of brain system and diabetes＇ diagnosis provides the important basis.
出处
《微型机与应用》
2011年第14期34-36,共3页
Microcomputer & Its Applications
基金
山东省泰安市科技计划(20071023)
关键词
眼底荧光血管造影图像
图像分割
神经网络
fundus fluorescein angiography images
image segmentation
neural network
