The New Digital Fundus Fluorescence Angiography Image Processing System

This topic in fundus images of fluorescent angiographic features and the actual demand of clinical diagnosis of ophthalmology, a new design of digital fundus fluorescence angiography image processing system. System mainly consists of retinal image pre-processing system, the width of the measurement system with retinal vascular retinopathy area measurement system is composed of three parts.Fundus image preprocessing system consists of Color image processing, Image geometric transformation and the image histogram equalization, the image smooth and sharpen enhancement function. The topic of the traditional wavelet edge detection algorithm was improved. Small scale by taking the maximum intersectorial filtering method, combining the edge detection and noise removal, connection, and presents a new algorithm of wavelet edge detection algorithm for retinal vessels on edge detection and measurement width. At the same time, this topic selection of BP neural network, and regional segmentation retinopathy samples through the gray image, variance, texture feature is normalized values, and the normalized eigenvalue, input has trained neural network classifier is classified, results of the classification results of image segmentation. The retinal image computer analysis system establishment, may carry on the quantitative measurement to retinal many organizations, normal and exceptionally provides the distinction help, causes the retinal system shape the research progresses to the standardization and the functional analysis, thus strengthens the retinal inspection superiority greatly. Help the doctor the better analysis patient condition and make the diagnosis.