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A Pupil Location Method with Global Adaptive Optimization Parameters

A technology for optimizing parameters and pupil positioning, which is applied in the directions of instruments, calculations, character and pattern recognition, etc., and can solve problems such as inaccurate pupil positioning and poor robustness

Inactive Publication Date: 2021-04-09
SOUTHWEST PETROLEUM UNIV
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AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is: in order to solve the current problem of inaccurate pupil positioning and poor robustness, the present invention calculates the pupil separation parameter based on the pixel value difference between the pupil and the outer area of ​​the pupil in the eye image, combined with the image preprocessing method , to achieve precise pupil positioning

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  • A Pupil Location Method with Global Adaptive Optimization Parameters
  • A Pupil Location Method with Global Adaptive Optimization Parameters
  • A Pupil Location Method with Global Adaptive Optimization Parameters

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[0048] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the embodiments and accompanying drawings. Here, the exemplary embodiments of the present invention and their descriptions are used to explain the present invention, but not to limit the present invention.

[0049] Such as figure 1 Shown is a technical flowchart of a pupil localization method for global adaptive optimization parameters, the method comprising the following steps:

[0050] S100. Taking a low-quality eye image without occluders and multiple light sources as an example, for example Figure 4 As shown, the eye image is preprocessed, and the noise in the eye image is reduced and eliminated through the Gaussian filter formula, so that the eye image is smoother;

[0051] S101, reduce and eliminate the noise in the eye image The described Gaussian filter formula is , where: μ is t...

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Abstract

The invention relates to a pupil positioning method for global adaptive optimization parameters, which belongs to the field of graphic image processing; it solves the problem that the current pupil positioning algorithm cannot accurately locate the pupil in the eye image; its technical solution is: through Gaussian filtering The formula preprocesses the eye image; selects the region of interest and the initial search point; searches the near-L field of the eye image to find the minimum pixel value of the pupil separation parameter in the eye image; Perform binarization parameter optimization, obtain the maximum pixel value of the pupil separation parameter, and obtain the final pupil separation parameter through the boundary value formula; use ellipse fitting to fit the pupil connected domain, and finally realize the positioning of the pupil; The invention has the following beneficial effects: considering the morphological characteristics of the pupil itself and related parameters, it can be adaptively optimized based on the actual image, has better robustness, and has high pupil positioning accuracy.

Description

technical field [0001] The invention relates to a pupil positioning method for global self-adaptive optimization parameters, which belongs to the field of graphics and image processing. Background technique [0002] Pupil localization plays an important role in gaze tracking and medical diagnosis. Precise pupil positioning can effectively improve the accuracy of gaze tracking and medical diagnosis. Therefore, pupil positioning has great research value. At present, human eye detection algorithms are mainly divided into methods based on image processing and methods based on statistics. The pupil localization methods based on image processing mainly include gray integral projection method, symmetric transformation method and method based on Hough transform, etc. The main method based on statistical learning is AdaBoost algorithm. This article systematically expounds the identification principles, applicable conditions and existing problems of these methods, and points out the...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/00G06K9/32
CPCG06V40/18G06V10/25
Inventor 王杨卢潇逸包美佳严子杰
Owner SOUTHWEST PETROLEUM UNIV