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1)  retinal vascular images
视网膜血管图像
1.
A new image enhancement method for retinal vascular images based on morphology and matched filters;
基于数学形态学和匹配滤波的视网膜血管图像增强方法
2)  retinal images
视网膜图像
1.
Retinal images registration is an important step in retinal fundus diseases diagnosis and laser treatment in order to combine different retinal images information, such as fluoroscein angiography image (FA ) and red free image(RF).
视网膜图像配准是视网膜眼底疾病诊断及激光治疗中的关键一步 。
3)  retinal image
视网膜图像
1.
The key process and difficulty to realize compute intelligent auxiliary diagnosis of retinal image is how to automatically ac- quire the pathological information.
视网膜图像病变信息的计算机自动提取算法是计算机智能辅助诊断的关键和难点。
2.
The reasons of radiant distortion for retinal image are discussed based on the analysis of imaging system of ocular fundus, and the method of Homomorphic Filtering is used to calibrate the radiant distortion.
在对视网膜图像成像特点分析的基础上 ,对视网膜图像辐射量畸变的原因进行了分析 ,提出采用同态滤波的方法进行辐射量畸变校正 ,并设计了相应的同态滤波器。
4)  Retinal vessels
视网膜血管
1.
Research on retinal vessels detection method based on the model of the retina vascular network;
基于眼底视网膜血管网络模型的血管提取方法
5)  Retinal blood vessel
视网膜血管
1.
Retinal blood vessel is used as a human biologic characteristics for personal verification in this paper.
本文利用人体生物特征的视网膜血管作为个人身份鉴别的特征 ,在建立高层次保密和安全应用的理论依据的研究中 ,提出了一种形态识别的相关网点法 ,包括方法的构思和依据 ,图像特征交点的提取 ,网点质心和最远网点的水平方位对准 ,图像相关网点匹配的判定 ,并给出了形态识别的结
2.
A correlative node method for the application of high level secret and security is proposed, including the ideal of the method, the extraction of nodes as feature in the image of retinal blood vessels, the alignment in horizontal with the centroid and the furthest node, the matching criterion of nodes between images.
利用人体生物特征的视网膜血管进行个人身份鉴别的研究 ,提出了一种高层次保安识别应用的相关网点法 ,包括方法的构思、视网膜血管图像特征交点的提取、网点质心和最远网点的水平方位对准以及图像相关网点匹配的判定 。
6)  pattern electro-retinogram
图像视网膜电图
补充资料:高光谱分辨率遥感图像及图像光谱信息提取


高光谱分辨率遥感图像及图像光谱信息提取


  高光谱分辨率遥感图像及图像光谱信息提取 郑兰芬供稿
  
说明:补充资料仅用于学习参考,请勿用于其它任何用途。
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