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Computational methods and apparatus for meiboqraphy

A technology of meibomian glands and computer equipment, applied in the field of computing and devices for meibomian gland imaging, can solve the problem of dividing uncomfortable images into glandular areas and non-glandular areas

Inactive Publication Date: 2014-12-03
AGENCY FOR SCI TECH & RES +1
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  • Description
  • Claims
  • Application Information

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Problems solved by technology

However, due to the above-mentioned imaging conditions, traditional methods such as local thresholding are not suitable for dividing images into glandular and non-glandular regions.

Method used

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  • Computational methods and apparatus for meiboqraphy
  • Computational methods and apparatus for meiboqraphy
  • Computational methods and apparatus for meiboqraphy

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no. 1 example

[0039] 1.1 Gabor function

[0040] The embodiment of the present invention is a method for detecting meibomian glands, which utilizes 2D (two-dimensional) Gabor function family. It is known that the Gabor function is used as the cell's receptive field function to simulate the spatial sum properties of simple cells [1]. Improved parameterization using Gabor functions takes into account the limitations found in experimental data [2, 3]. Suppose a point (x, y) on a two-dimensional visual field Ω (i.e. There is a light pulse on ). Gabor function by G λ,θ,ψ (x,y) means that it is a real valued number (ie G λ,θ,ψ (x,y)∈R). The Gabor function is represented by the following formula [2]:

[0041] G λ , θ , ψ ( x , y ) = exp ( - x ~ 2 + γ 2 y ~ 2 2 σ 2 ) cos ( 2 π x ~ λ + ψ ) - G λ , θ , ψ DC

[0042] among them

[0043] x ~ = - ( x - x...

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Abstract

An occular image of a region including meibomian glands is processed automatically. The processing may derive a grade indicative of the health of the meibomian glands, by using in the occular image to obtain one or more numerical parameters characterizing the meibomian glands shown in the occular image, and determining the grade using the one or more numerical parameters. The numerical parameters include a parameter characterizing the diversity between scale parameters of significant features of the image obtained by a scale-space transform, and / or parameters obtained by measurement of lines in the occular image representing respective glands. Meibomian glands can be identified on ocular images using Gabor filtering as a local filtering technique. The parametrization in shape, local spatial support, and orientation of Gabor filtering is particularly suitable for detecting meibomian glands.

Description

Technical field [0001] The present invention relates to a calculation method and device for processing an image of the meibomian gland to obtain information characterizing gland abnormalities, the image indicating a medical condition. Background technique [0002] Meibomian glands are sebaceous glands located at the edge of the eyelid in the meibomian, and are used to supply meibum, which is an oily substance that prevents the evaporation of the tear film of the eye. Meibum is a lipid that prevents tears from overflowing to the cheeks, thereby trapping the tears between the oily edges and the eyeballs, and sealing the closed eyelids. Moreover, it adheres to the surface of the tears, which can prevent the water in the tears from evaporating too quickly. Dysfunctional Meibomian glands can cause dry eyes (the water in the eyes evaporates too quickly due to the absence of oil) or blepharitis; and other medical conditions. [0003] It is known to capture IR (infra-red) images of the o...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/60G06T7/00A61B3/00
CPCG06T2207/30041G06T7/0012G06V40/197G06V40/193G06V10/449G06V10/462
Inventor 李惠光许洋维图尔盖·西里克童学天安德烈·皮特尼克
Owner AGENCY FOR SCI TECH & RES
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