Automatic identification method of microaneurysm in fundus colorful image

Abstract

The invention discloses an automatic identification method of microaneurysm in a fundus colorful image. The method comprises the following steps: firstly, carrying out preprocessing and shade correction on an image of a green channel, then, utilizing the local information of a sliding window to determine an adaptive threshold value to carry out binarization on the image, obtaining a decision graph through a double-window filter based on connectivity restriction, and carrying out region growing on the decision graph, wherein the result of the region growing is the accurate identification microaneurysm. By use of the whole method, the fine identification and segmentation of the microaneurysm can be realized, identification missing and misjudgement can be effectively avoided, the processes of feature extraction and classifier classification do not need to be adopted, and identification efficiency is effectively improved.

Description

Technical field [0001] The invention belongs to the field of image processing, and specifically relates to a method for automatically identifying microaneurysms in fundus images based on connectivity limitations. Background technique [0002] A microaneurysm is a sac-like swelling located in the wall of a capillary vessel. It is usually a round, discrete, small area of ​​dark red lesions. Because microaneurysms are about 10-100μm in diameter, they are difficult to detect with the naked eye, and doctors have a heavy workload and low efficiency. And because of its small surface, high similarity to blood vessels, and low background contrast, traditional automatic recognition methods are also difficult to effectively recognize. [0003] At present, the microaneurysm recognition methods proposed are mostly based on information such as the shape and color of the microaneurysm. The candidate microaneurysm points are selected through morphology and matched filtering, and then the relevant...

AI Technical Summary

Problems solved by technology

[0004] The technical problem to be solved by the present invention is to propose an automatic recognition method for microaneurysms, which can achieve precise positioning and segmentation of microaneurysms, in view of the characteristics of microaneurysms in color images of the fundus that are difficult to identify, such as small area and similar color to blood vessels. ; and aiming at the low efficiency of microaneurysm recognition, this method achieves efficient and accurate recognition without using feature extraction and classifier classification

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