Method for performing eye ground focus recognition through eye ground color pictures

A lesion identification and fundus technology, applied in ophthalmoscopes, eye testing equipment, medical science, etc., can solve the problems of lesion identification, low efficiency, small number, etc., and achieve good fault tolerance, good recognition ability, and accurate judgment Effect

Inactive Publication Date: 2018-06-22
SUN YAT SEN UNIV +1
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  • 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 posit

Method used

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  • Method for performing eye ground focus recognition through eye ground color pictures
  • Method for performing eye ground focus recognition through eye ground color pictures
  • Method for performing eye ground focus recognition through eye ground color pictures

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Experimental program
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Embodiment

[0024] A method for identifying fundus lesions in color fundus photos, comprising the following steps:

[0025] Image quality inspection:

[0026] 1. Feature extraction:

[0027] Using the skeleton of the image, extract its texture features, RGB, three layers, each layer extracts 15 features.

[0028] 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.

[0029] Then extract the seven invariant moment features of the image:

[0030] The sum of horizontal and vertical directed variance, more distributed towards horizontal and vertical axes, the values ​​are enlarged.

[0031] The covariance value of vertical and horizontal axes...

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Abstract

The invention discloses a method for performing eye ground focus recognition through eye ground color pictures. All parts in the eye ground color pictures are automatically positioned and measured, the disease pre-screening effect is achieved, pictures with lesion suspicion are automatically screened out, and bleeding, effusion and microaneurysm can be positioned and recognized rapidly and efficiently, so that diabetic retinopathy and other diseases can be subjected to auxiliary diagnosis, and workloads of doctors are relieved; the result does not depend on doctor's experience, the result is more objective, the doctor can be effectively assisted in disease diagnosis, and the purpose of remote consultation is achieved.

Description

technical field [0001] The invention relates to a method for identifying fundus lesions in fundus color photographs. Background technique [0002] In order to quickly identify and draw the boundaries of common fundus lesions in fundus color photos in large quantities, it can quickly and effectively locate and identify hemorrhage, exudation and microvascular tumors, so as to assist in the diagnosis of diabetic retinopathy and other diseases. 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 perform precise posit...

Claims

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Application Information

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IPC IPC(8): A61B3/12A61B3/14G06T5/20G06T7/00
CPCA61B3/0033A61B3/0041A61B3/12A61B3/1241A61B3/14G06T5/20G06T7/0012G06T2207/10024G06T2207/20081G06T2207/30041
Inventor 王学钦罗燕吕林
Owner SUN YAT SEN UNIV
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