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Blood vessel, artery and vein identification method for fundus photography

A recognition method, arteriovenous technology, applied in character and pattern recognition, image data processing, instruments, etc., can solve the problems of lesion recognition, low efficiency, single repetition, etc., and achieve good recognition ability, accurate judgment, and good fault tolerance Effect

Inactive Publication Date: 2018-06-29
SUN YAT SEN UNIV +1
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In clinical practice, due to the limited manpower of ophthalmologists in remote mountainous areas, grass-roots hospitals, and fundus-related film readers, such as mechanically reviewing a large number of fundus color photos one by one, the work content is heavy, single and repetitive, and the efficiency is not high. , wasting a lot of valuable human resources
The existing fundus color photo automatic recognition system also involves the automatic recognition and partition method of the fundus image, but it does not carry out the precise positioning of the fundus structure position, lesion identification
In addition, most of the existing methods use standard pictures on the Internet for reference comparison and identification. However, the color fundus pictures in clinical practice are not standard pictures, and even include many pictures with problems with focus and brightness. At present, many systems directly use the pictures Recognition, regardless of the quality of the picture, because the standard library on the Internet is a good quality picture, and the number is very small

Method used

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  • Blood vessel, artery and vein identification method for fundus photography
  • Blood vessel, artery and vein identification method for fundus photography
  • Blood vessel, artery and vein identification method for fundus photography

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Experimental program
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Embodiment

[0020] A method for identifying blood vessels and arteries and veins in fundus color photos, comprising the following steps:

[0021] Image quality inspection:

[0022] 1. Feature extraction:

[0023] Using the skeleton of the image, extract its texture features, RGB, three layers, each layer extracts 15 features.

[0024] First use the canny operator to detect the edge of the image, and then use the median filter to denoise, and then use the preprocessed image to calculate the number of total pixels on the edge, the total perimeter of the edge, the maximum height of the edge area, Maximum width, number of chain codes for odd chains (number of points with discontinuous edges), target area, rectangularity, elongation.

[0025] Then extract the seven invariant moment features of the image:

[0026] The sum of horizontal and vertical directed variance, more distributed towards horizontal and vertical axes, the values ​​are enlarged.

[0027] The covariance value of vertic...

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PUM

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Abstract

The invention discloses a blood vessel, artery and vein identification method for fundus photography. Each position in the fundus photography is automatically positioned and measured to achieve an effect on pre-screening diseases, pictures with lesion suspicions can be automatically screened so as to accurately and effectively carry out mark identification on blood vessel contours and blood vesselarteries and veins, then, the diameter ratio of arteries and veins can be calculated to assist in diagnosing diseases, including retina blood vessels and the like, and the workloads of doctors are reduced. In addition, the result of the method does not depend on the experience of doctors and is more objective, doctors can be effectively assisted in diagnosing diseases, and a purpose of remote consultation is realized.

Description

technical field [0001] The invention relates to a method for identifying blood vessels and arteries and veins in fundus color photographs. Background technique [0002] In order to identify and draw the boundaries of blood vessels and arteries and veins in fundus color photos quickly and in large quantities, so as to accurately and effectively identify the outline of blood vessels and mark identification with blood vessels, arteries and veins, and then calculate the diameter ratio of veins and arteries to assist in the diagnosis of the retina diseases such as blood vessels. In clinical practice, due to the limited manpower of ophthalmologists in remote mountainous areas, grass-roots hospitals, and fundus-related film readers, such as mechanically reviewing a large number of fundus color photos one by one, the work content is heavy, single and repetitive, and the efficiency is not high. , wasting a lot of valuable human resources. The existing fundus color photo automatic r...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00G06T7/12G06T7/136G06T7/181G06K9/62
CPCG06T7/0012G06T7/12G06T7/136G06T7/181G06T2207/10024G06T2207/10004G06T2207/20032G06T2207/30041G06F18/2413
Inventor 王学钦罗燕吕林
Owner SUN YAT SEN UNIV
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