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Reliable self-detection method for glaucoma patient

A detection method and glaucoma technology, which are applied in the fields of eye acquisition/recognition, image data processing, instruments, etc., can solve problems such as invalid data, and achieve the effect of improving accuracy

Inactive Publication Date: 2017-07-07
SYSU CMU SHUNDE INT JOINT RES INST +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The invention overcomes the problem of invalid data when visualFieldseasy is used, and provides a reliable self-test method for glaucoma patients to improve the accuracy of judging whether the tester suffers from glaucoma

Method used

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  • Reliable self-detection method for glaucoma patient
  • Reliable self-detection method for glaucoma patient
  • Reliable self-detection method for glaucoma patient

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Experimental program
Comparison scheme
Effect test

Embodiment 1

[0047] Such as figure 1 As shown, a reliable self-diagnosis method for glaucoma patients includes the following steps:

[0048] S1: Face positioning: collect face images and identify face areas through skin color segmentation, determine face boundaries and extract faces;

[0049] Skin color is one of the characteristics of the face. People of different races can guarantee that their skin colors on the face are concentrated and highly similar. Usually, the background is unlikely to be similar to the skin color, and the face can be separated from the background by the skin color. According to the existing research results, after the skin color of different races in the world is converted to the YCbCr color space, the characteristics in the Cb-Cr space are basically consistent and have clustering characteristics. Therefore, the face can be segmented by using the segmentation method based on skin color.

[0050] The specific method of identifying the face area through skin colo...

Embodiment 2

[0081] image 3 It is the module diagram of the pupil center-eye corner vector line of sight detection subsystem. It can be seen from the figure that the system is mainly divided into four modules in processing input images: face positioning module, human eye positioning module, position vector extraction module, and judging whether there is a line of sight change module.

[0082] The face location module is responsible for extracting the face part from the input color image. This part is mainly completed by the skin color segmentation method based on YCbCr space.

[0083] The human eye positioning module is responsible for delineating human eyes on the selected human face. This part is mainly done by using AdaBoost classifier.

[0084] The module of extracting the pupil center-eye corner position vector mainly obtains the normalized pupil center-eye corner position vector according to the extracted human eye picture. This part is mainly to obtain the pupil center point th...

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Abstract

The present invention provides a reliable self-detection method for a glaucoma patient. The method comprises a step of face positioning: collecting a face image and cutting and identifying a face area through skin colors, and determining a face boundary and extracting a face, a step of eye detection: identifying an eye area after extracting the face, and a step of extracting pupil center-eye position vector, judging whether a sight line direction moves, estimating an actual sight line direction according to the value of the pupil center-eye position vector by using a method of calibrating each main direction in advance to detect glaucoma. According to the method, the validation of detection data provided by visualFields easy is verified so as to improve the accuracy of judging whether a patient has glaucoma.

Description

technical field [0001] The invention relates to the field of medical equipment, in particular to a reliable self-detection method for glaucoma patients. Background technique [0002] Glaucoma is a disease caused by a persistent increase in intraocular pressure. When the internal pressure is too high, it will cause irreversible damage to the internal tissues of the human eye and cause blindness in the later stage. Therefore, early treatment is necessary to reduce the risk. In China, it is not yet popular to have an annual eye examination. Some glaucoma patients have good vision in the early stage, but once they are found to have glaucoma, it is already in the late stage. [0003] At present, there is a free, public welfare, glaucoma detection software called visualFieldseasy on the market, and users who need it can use it for detection at any time. This can increase the chances of glaucoma detection at an early stage and reduce the possibility of blindness in glaucoma pati...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/34G06K9/62G06T7/00
CPCG06T7/0012G06T2207/30041G06V40/162G06V40/193G06V40/18G06V10/267G06F18/24
Inventor 王军李日富江伟鑫
Owner SYSU CMU SHUNDE INT JOINT RES INST