Semiautomatic leakage analyzing system for time series fluorescein ocular fundus angiography
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摘要
An algorithm for measuring an index of leakage in fluorescein fundus angiography is presented. The number of pixels whose gray level exceeds an automatically determined slice level is calculated. An automatic blood vessel elimination technique is introduced. Further, a method of measuring the short term change of leakage from a time series of the fluorescein fundus angiographs is described. Our system can also deal with the time series images obtained on different occasions (long term change).The features of this paper are: (1) this paper deals with double time sequence images (short and long term); (2) an automatic blood vessel recognition algorithm is employed.
论文关键词:Image processing,Pattern recognition,Time series images,Blood vessel elimination,Ocular fundus photograph,Diabetic retinopathy,Fluorescein fundus angiography
论文评审过程:Received 25 August 1982, Revised 9 December 1983, Available online 19 May 2003.
论文官网地址:https://doi.org/10.1016/0031-3203(83)90018-3