Noise-removing algorithm for fluorescein angiography images based on independent component analysis
Shiyun Li · China Measurement & Test · 2012
One important method for examining diabetic retinopathy is fluorescein angiography image analysis.The fluorescein angiogram is easily contaminated by the noise,and the blurred likely occurrs for the reason of the diabetic cataract.Therefore,based on the blind signal processing theory,an efficient algorithm was introduced to reduce the noise based on independent component analysis(ICA) and wiener filtering.And FASTICA algorithm was used to separate the source signal.The image-processing results show that this method may reduce the effect of noise and improve the signal-noise ratio(S/N) of images to renew the original images.