A method for quantitatively analyzing the shape and area of meibomian gland with MATLAB

A technique for quantitative analysis and meibomian glands, applied in image analysis, image data processing, instruments, etc., to achieve smooth edges and display natural and real effects

Active Publication Date: 2018-12-21
SHANGHAI CHILDRENS HOSPITAL
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  • A method for quantitatively analyzing the shape and area of meibomian gland with MATLAB
  • A method for quantitatively analyzing the shape and area of meibomian gland with MATLAB
  • A method for quantitatively analyzing the shape and area of meibomian gland with MATLAB

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Embodiment 1

[0047] Please refer to figure 1 , figure 1 It is a flowchart of a method for quantitatively analyzing the shape and area of ​​meibomian glands by using MATLAB in the present invention. Described method comprises the following steps:

[0048] Step S1, homogenize the pictures of the glandular glands of the eyelids;

[0049] Step S2, performing histogram equalization on the processed image in step S1;

[0050] Step S3, carry out black-and-white binarization processing to the image in step S2 (see figure 2 );

[0051] In this way, through steps S1 / S2 / S3, the image can be enhanced and contrasted while ensuring that the clarity of the entire image is consistent. The structure has reached a satisfactory level.

[0052] Although the image can display the ductal structure after black-and-white processing, the structure is inevitably affected by noise, and step S4 is further performed:

[0053] Step S4, carry out noise processing to the image in step S3; The noise processing i...

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Abstract

The invention relates to a method for quantitatively analyzing the shape and area of the eyelid tarsal gland by using MATLAB. The method comprises the following steps: step S1, uniformizing the picture of the eyelid tarsal gland; step S2, uniformizing the picture of the eyelid tarsal gland. Step S2, performing histogram equalization on the image processed in step S1; Step S3, black-and-white binarization processing is performed on the image in step S2; Step S4, performing expansion corrosion noise removal processing on the image in step S3; S5, the eyelid gland shape is accurately marked by using MATLAB, and the proportion of the eyelid gland / eyelid is finally calculated by selecting the eyelid position. The invention has the advantages that: through the MATLAB image conversion technologyof the invention, the medical images which can not be recognized originally are processed by edge intensification, the shape of eyelid gland is recognized accurately, and the proportion of eyelid gland can be recognized accurately and non-artificially by selecting the position of eyelid gland.

Description

technical field [0001] The invention relates to the analysis of the meibomian glands of the human eye, and a quantitative analysis method after special enhancement processing for some specific gray-scale images with unclear edges. Background technique [0002] The meibomian gland is the largest sebaceous gland in the human body. It synthesizes, stores and secretes lipids, which constitute the lipid layer of the tear film and have important physiological functions. The change of meibomian gland morphology (including quantity) is an objective basis for evaluating the meibomian gland function, which changes due to age and various disease factors ( Figure 5 ). Figure 5 Figures A and B: Meibomian gland obstruction, meibomian gland cyst with secretion disorder, C meibomian gland duct, D meibomian gland duct obstruction and absence. [0003] In recent years, effective observation and analysis of meibomian gland morphology, as well as changes in the morphology and function of meib...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00G06T7/62G06T5/40G06T5/00G06T5/30
CPCG06T5/002G06T5/30G06T5/40G06T7/0012G06T2207/30041G06T2207/30196G06T7/62
Inventor 邸悦乔彤陆娜周行涛骆文婷叶海昀
Owner SHANGHAI CHILDRENS HOSPITAL
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