Corneal injury detection method based on image processing

A technology of corneal damage and detection method, which is applied in image data processing, image enhancement, image analysis, etc., can solve the problems of being unable to locate the damaged position, quantify the degree of damage, and cannot provide accuracy, etc., and achieve the effect of reliable technical support

Pending Publication Date: 2020-09-11
THE EYE HOSPITAL OF WENZHOU MEDICAL UNIV
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Problems solved by technology

Although this method can visually display the damaged part of the cornea to the doctor, it cannot specifically locate the damaged location and quantify th...

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  • Corneal injury detection method based on image processing
  • Corneal injury detection method based on image processing
  • Corneal injury detection method based on image processing

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Embodiment Construction

[0031] The present invention will be described in further detail below in conjunction with the accompanying drawings.

[0032] refer to figure 1 , a method for detecting corneal damage based on image processing, comprising the following steps:

[0033] Step S1, collecting corneal images dripped with sodium fluorescein under blue light irradiation;

[0034] Step S2, performing image preprocessing on the cornea image to remove overly bright and overdark areas, and segment out blue and green potential areas;

[0035] Step S3, obtaining the location information of the potential area through blob analysis;

[0036] Step S4, performing color space conversion on the latent area;

[0037] Step S5, using the K-means clustering algorithm to segment the green potential area as the damaged area;

[0038] Step S6, using blob shape analysis on each damaged area to obtain the shape features of each damaged area;

[0039] Step S7 , based on the shape features of each damaged area obtaine...

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Abstract

The invention discloses a corneal injury detection method based on image processing. The corneal injury detection method comprises the following steps: collecting a corneal image dripped with fluorescein sodium under blue light irradiation; carrying out image preprocessing on the cornea image to remove too bright and too dark regions, and segmenting potential regions with blue and green colors; obtaining position information of the potential area through blob analysis; performing color space conversion on the potential region; segmenting a green potential region by using a K-means clustering algorithm, and taking the green potential region as a damaged region; carrying out blob shape analysis on each damaged area to obtain shape features of each damaged area; and S6, screening out the cornea damaged area based on the shape characteristics of each damaged area obtained in the step S6, and outputting the cornea damaged area. The method has the advantages and effects that the cornea damage position can be accurately positioned, the damage degree can be quantified, accurate, objective and quantified cornea damage information is provided for doctors, and reliable technical support is provided for further treatment schemes.

Description

technical field [0001] The invention relates to the technical field of ophthalmology detection, in particular to a method for detecting corneal damage based on image processing. Background technique [0002] The cornea is the transparent, avascular structure located on the outermost part of the eye and is directly exposed to the environment. It is both the main refractive medium and an important protective barrier. Although the cornea has a certain self-protection function in terms of anatomical structure, due to the fragility of the corneal tissue structure and the characteristics of immune deficiency, the cornea is prone to chemical burns, thermal burns, mechanical damage, infection, long-term wear of contact lenses, and refractive injuries Injury caused by surgery and other factors. Many seemingly minor corneal injuries often lead to severe corneal infection, impairing the restoration of visual function, and even leading to enucleation of the eyeball, causing significan...

Claims

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Application Information

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IPC IPC(8): G06T7/00G06T7/11G06T7/136G06K9/62
CPCG06T7/0012G06T7/11G06T7/136G06T2207/30041G06T2207/10024G06F18/23213
Inventor 黄锦海王勤美李瑛
Owner THE EYE HOSPITAL OF WENZHOU MEDICAL UNIV
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