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Pupil Recognition Image Processing Method

An image processing and pupil technology, applied in the field of ophthalmology medical image processing, to achieve precise pupil positioning, improve image processing time, and improve accuracy

Active Publication Date: 2022-07-01
WENZHOU INST OF BIOMATERIALS & ENG
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

However, there are still some problems in the accuracy of the current technical means.

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  • Pupil Recognition Image Processing Method
  • Pupil Recognition Image Processing Method
  • Pupil Recognition Image Processing Method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0025] First, use a camera to capture an eye image and save it in a file format with a lower compression rate, such as bmp or jpeg format, to ensure that the image has more local details.

[0026] In the next step, the eye images collected by the camera are processed, such as figure 1 shown. First, input the collected eye image. Then, binarization method is used to find potential pupil regions, and obvious non-pupil regions are removed by Blob shape analysis. Next, it is determined whether or not it is an ellipse. If it is not an ellipse, it is judged that the area is not the pupil. If it is an ellipse, the pupil parameters such as the pupil center and the major and minor axes are obtained by ellipse fitting to the elliptical region, and the pupil parameters are output to complete the core pupil translation measurement. The pupil parameters include pupil center coordinates, pupil length and short axis parameters, and angle, and the pupil position is determined by the pupil...

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Abstract

The invention discloses a pupil recognition image processing method, which obtains the pupil center and pupil long and short axis parameters through core pupil translation measurement; obtains the center of a reflection point and the center of two reflection points through core visual axis offset measurement; Rotation measurement to obtain the iris rotation angle; core pupil translation measurement includes the following steps: 1-1. Input the collected eye image; 1-2. Binarization to find potential pupil areas; 1-3. Blob shape analysis to remove obvious non-pupil areas ; 1-4. The pupil center and the major and minor axis parameters are obtained by ellipse fitting to the elliptical region. In the identification of the basic pupil parameters, the invention further improves the accuracy of pupil identification according to the offset of the core visual axis and the iris rotation angle, and ensures that the laser surgery for myopia can be more accurately performed on a specific part of the cornea.

Description

technical field [0001] The invention relates to an ophthalmic medical image processing method, in particular to a pupil recognition image processing method. Background technique [0002] The cornea is the first point of entry for light into the eye. Its refractive power is about 42D, accounting for 1 / 6 of the surface area of ​​the eyeball, with a diameter of 11.5 mm, a thickness of 0.6 mm in the center, and a thickness of 1 mm at the sides. Commonly known as "black eyeball", in fact, it is transparent and flawless. It is only because other parts of the eyeball wall are like camera camera obscura. When people look into the dark eye through this layer of transparent tissue, the feeling of blackness occurs. The corneal tissue is divided into 5 layers: upper Cortex, Descemet's Layer, Stromal Layer, Descemet's Layer, Endothelial Layer. [0003] The pupil is the pore surrounded by the iris and is an important part of the optical system of the human eye. Its main function is to ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06V40/19G06V40/18
CPCG06V40/197G06V40/19G06V40/193
Inventor 陈浩于航王毅朱豫
Owner WENZHOU INST OF BIOMATERIALS & ENG