Fundus color photo optic disc and macular positioning and identifying method

A technology of positioning and recognition, optic disc, applied in character and pattern recognition, recognition of medical/anatomical patterns, instruments, etc., can solve the problems of lesion recognition, low efficiency, single repetition, etc., to achieve good recognition ability, accurate judgment, good The effect of fault tolerance

Active Publication Date: 2018-08-17
ZHONGSHAN OPHTHALMIC CENT 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 is not for the precise positioni

Method used

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  • Fundus color photo optic disc and macular positioning and identifying method
  • Fundus color photo optic disc and macular positioning and identifying method
  • Fundus color photo optic disc and macular positioning and identifying method

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[0020] Example

[0021] A method for locating and recognizing the optic disc and the macula of the fundus color photo, including the following steps:

[0022] Picture quality inspection:

[0023] 1. Feature extraction:

[0024] Using the skeleton of the image, extract its texture features, RGB, three layers, each layer extracts 15 features.

[0025] 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 total number of edge pixels, the total perimeter of the edge, the maximum height of the edge area, Maximum width, odd chain number of chain codes (number of points with discontinuous edges), target area, rectangularity, and elongation.

[0026] Then extract the seven moment invariant features of the image:

[0027] The sum of horizontal and vertical directed variance,moredistributed towards horizontal and vertical axes,the values ​​are enlarged.

[0028] The covariance value of vertical...

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Abstract

The invention discloses a fundus color photo optic disc and macular positioning and identifying method. Automatic positioning and measurement of all parts in a fundus color photo are carried to achieve the effect of disease pre-screening, and photos with the suspicious lesions are automatically screened out for a doctor to decide whether disease occurs or not. The workload of the doctor can be reduced, and the result does not depend on the experience of the doctor, so that the result is more objective. Optic disc, optic cup and macula lutea in the fundus color photo can be quickly and effectively positioned and recognized, so that the method can be used to assist diagnosis of normal fundus, glaucoma and fundus diseases of abnormal development, and the purpose of remote consultation is achieved.

Description

technical field [0001] The invention relates to a method for positioning and identifying an optic disc and a macula in a fundus color photograph. Background technique [0002] In order to quickly and massively locate the optic disc, cup and macula in color fundus photos, as well as identify and draw boundaries of common fundus lesions, so as to effectively and accurately predict various blinding eye diseases including diabetic retinopathy and glaucoma and screening. 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. , Waste 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 ...

Claims

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Application Information

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IPC IPC(8): G06K9/20G06K9/62
CPCG06V10/22G06V2201/03G06F18/2193
Inventor 罗燕王学钦吕林
Owner ZHONGSHAN OPHTHALMIC CENT SUN YAT SEN UNIV
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