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Retinal vessel recognition method and retinal vessel recognition device

A retinal blood vessel and recognition method technology, which is applied in the field of retinal blood vessel recognition method and device, can solve the problem that the reliability and accuracy of retinal small blood vessel recognition cannot meet the actual needs of retinal blood vessel recognition, so as to improve reliability and accuracy, Improvement of accuracy and reliability, the effect of improving accuracy

Active Publication Date: 2014-10-15
BEIJING TONGREN HOSPITAL AFFILIATED TO CAPITAL MEDICAL UNIV +2
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AI Technical Summary

Problems solved by technology

[0005] The current retinal vessel recognition algorithms are based on different image features, such as color, intensity, shape, grayscale gradient, contrast, and continuity of anatomical structures, to identify the boundaries of retinal vessels. Accuracy still falls short of practical needs for retinal vessel identification

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  • Retinal vessel recognition method and retinal vessel recognition device
  • Retinal vessel recognition method and retinal vessel recognition device
  • Retinal vessel recognition method and retinal vessel recognition device

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Embodiment Construction

[0036] The present invention will be described in further detail below through specific implementation examples and in conjunction with the accompanying drawings.

[0037] An embodiment of the present invention provides a method for identifying retinal blood vessels, such as figure 1 As shown, the main processing steps include:

[0038] Step S11: extract the retinal grayscale image in the green channel from the retinal fundus image in RGB format;

[0039] Step S12: Set up multiple contrast scales, and quantify the pixels on the retinal grayscale image from multiple directions in each contrast scale to obtain a retinal binary contrast map, in which the retinal binary contrast map is Pixels are divided into pixels on retinal vessels and pixels on non-retinal vessels;

[0040] Step S13: performing differential fusion on the obtained multiple retinal binarized contrast images, and removing noise and artifacts in the images obtained after fusion, to obtain a retinal fusion image;...

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Abstract

The invention relates to the technical field of medical science, in particular to a retinal vessel recognition method and a retinal vessel recognition device. The method comprises the following steps that a retinal grey-scale map in a green path is extracted from a retinal ocular fundus image in an RGB format; a plurality of comparison scales are set; pixel points on the retinal grey-scale map are subjected to contrast quantification in different directions under each comparison scale; retinal binary contrast maps are obtained, wherein pixels in the retinal binary contrast maps are divided into retinal vessel pixels and non-retinal-vessel pixels; the obtained retinal binary contrast maps are subjected to difference fusion; noise and artifacts in the images obtained after the fusion are removed, and a retinal fusion image is obtained; a center reflecting region is determined in the retinal fusion map; the center reflecting region is filled; and a retinal vessel distribution diagram is obtained. The method and the device provided by the invention have the advantage that the accuracy and the reliability of the retinal vessel recognition are improved.

Description

technical field [0001] The invention relates to the field of medical technology, in particular, to a retinal blood vessel identification method and device. Background technique [0002] The retina is the inner layer of the eye wall and is a transparent film. The retina is the only central nervous tissue that can be observed in an optical non-invasive way, and it is responsible for transmitting image information of the outside world to the brain in real time. In order to ensure sufficient normal physiological functions, the retina contains a rich network of blood vessels, and any abnormal blood vessels in the retina will lead to damage to retinal functions. Many systemic diseases, such as diabetes, hypertension, arteriosclerosis, cardiovascular and cerebrovascular accidents, and stroke, as well as many eye diseases, such as retinopathy of prematurity, retinal vein occlusion, and age-related macular degeneration, are closely related to changes in retinal blood vessels . Acc...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/54
Inventor 甄毅王宁利普建涛顾岁成孟鑫
Owner BEIJING TONGREN HOSPITAL AFFILIATED TO CAPITAL MEDICAL UNIV
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