The invention relates to the technical field of medical
image processing and
disease auxiliary diagnosis, in particular to a
diabetic neuropathy auxiliary detection
system based on ophthalmologic images. According to the
system, the
fundus image acquisition module, the
hysteresis analysis module, the region fusion module, the microhemangioma influence degree acquisition module and the
diabetic neuropathy detection module are arranged to analyze gray change characteristics of pixel points in an FFA image, the
hysteresis degree of the pixel points filled with
fluorescein is acquired, region fusion is carried out according to the
hysteresis degree, and the detection accuracy of the
diabetic neuropathy is improved. And quantifying the influence degree of the microhemangioma according to the average
lag degree of the fusion region and the region area to realize the judgment of the diabetic neuropathy. The
system obtains the influence degree of the microhemangioma by quantitatively analyzing the filling and
diffusion rules of
fluorescein in the microhemangioma and the surrounding area of the microhemangioma, and achieves the auxiliary detection of the diabetic neuropathy, thereby assisting doctors to efficiently and accurately detect the diabetic neuropathy, and effectively improving the diagnosis efficiency and accuracy.