Automatic segmentation method for a visual disc and a visual cup of a color fundus image

An automatic segmentation and fundus image technology, applied in image analysis, image enhancement, image data processing and other directions, can solve problems such as poor robustness, poor accuracy, and high environmental requirements, achieving good applicability, accurate automatic segmentation, and simple methods. reliable results

Active Publication Date: 2019-04-19
CENT SOUTH UNIV
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  • Application Information

AI Technical Summary

Problems solved by technology

[0006] However, most of these algorithms only focus on the analysis of local features, which have high requirements for sample data a...

Method used

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  • Automatic segmentation method for a visual disc and a visual cup of a color fundus image
  • Automatic segmentation method for a visual disc and a visual cup of a color fundus image
  • Automatic segmentation method for a visual disc and a visual cup of a color fundus image

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Embodiment Construction

[0047] Such as figure 1 Shown is the method flowchart of the method of the present invention: the optic disc optic cup automatic segmentation method of this color fundus map provided by the present invention, comprises the following steps:

[0048] S1. Obtain known color fundus images and corresponding fundus map data sets, and divide the fundus map data sets corresponding to glaucoma fundus images in the color fundus images into test data sets and training data sets;

[0049] In order to make the resolution of the original image uniform, the bicubic interpolation algorithm is used to process the original image, specifically, the following formula is used for processing:

[0050]

[0051] In the formula is the coordinates of the processed pixels, f(i, j) is the coordinates of the original pixels, m and n are translation amounts, and R(x) is an interpolation expression;

[0052] S2. Construct the preliminary segmentation deep learning network of the optic disc, use the tr...

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Abstract

The invention discloses an automatic segmentation method for an optic disc optic cup of a color fundus image. The method comprises the following steps: acquiring a known color fundus image and a corresponding fundus image data set; Constructing and obtaining an optic disc segmentation model; segmentating and intercepting The data set, and obtaining a screenshot; Constructing and obtaining an optic disc optic cup segmentation model under the Euclidean coordinates; Performing polar coordinate transformation on the screenshot to obtain a polar coordinate screenshot; Constructing and obtaining anoptic disc optic cup segmentation model under polar coordinates; Segmenting the to-be-analyzed data by using two types of models to obtain an Euclidean coordinate optic disc optic cup segmentation result and a polar coordinate optic disc optic cup segmentation result; And fusing the two types of segmentation results to obtain a final optic disc and optic cup segmentation result of the fundus image. According to the method, automatic optic disk and optic cup segmentation can be more accurately carried out on the color fundus image, and the method is simple, reliable and good in applicability.

Description

technical field [0001] The invention specifically relates to a method for automatically segmenting an optic disc and an optic cup of a color fundus map. Background technique [0002] With the development of economy and technology, people's requirements for physical health are becoming more and more prominent. [0003] Glaucoma is the second leading cause of blindness in the world. It will cause irreversible blindness from the outside to the inside of the patient, and it is already late when the patient realizes it. At present, there is no effective treatment for glaucoma, and the process of blindness can only be delayed through early detection and intervention. Therefore, glaucoma has immeasurable harm to society and people's life. [0004] In clinical practice, the methods used by doctors to determine whether a patient has glaucoma include intraocular pressure detection, visual field detection, and fundus image analysis and diagnosis. In the analysis and diagnosis of co...

Claims

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Application Information

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IPC IPC(8): G06T7/11G06T7/00G06T7/62G06K9/62
CPCG06T7/0012G06T7/11G06T7/62G06T2207/20084G06T2207/20081G06T2207/10024G06T2207/30041G06F18/254
Inventor 赵荣昌廖望旻黎红
Owner CENT SOUTH UNIV
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