Method for locating eyeball cornea

A cornea and eyeball technology, applied in the field of computer vision processing, can solve the problems of high requirements for detection equipment, wide and narrow application range, poor recognition accuracy, etc., and achieve the effect of rich algorithms

Inactive Publication Date: 2012-07-11
SOUTH CHINA UNIV OF TECH
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, this detection method can be applied in a wide and narrow range, and has disadvantages such as poor recognition accuracy and high requirements for detection equipment.

Method used

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  • Method for locating eyeball cornea
  • Method for locating eyeball cornea
  • Method for locating eyeball cornea

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Experimental program
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Embodiment Construction

[0023] The specific embodiments of the present invention will be described in further detail below, but the embodiments of the present invention are not limited thereto.

[0024] like figure 1 , figure 2 , image 3 shown. The method for locating the eyeball and cornea of ​​the present invention uses the CV pattern recognition solution in opencv to identify the eyeball area and perform image processing.

[0025] Under the Visual C++6.0 platform, first use the CV pattern recognition solution in opencv to train the eye classifier and generate related XML files; set the rectangular area of ​​the eye captured by the camera as the region of interest (ROI); then The ROI image is smoothed and edge detected; in the obtained edge image, the cornea has obvious circular shape characteristics, and the Hough circle transformation is performed to identify the circle sequence in the area, that is, to judge that the sequence is the area where the cornea is located. The location of the cen...

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Abstract

The invention discloses a method for locating an eyeball cornea. The method comprises the steps of utilizing a CV mode identification solution in opencv (open source computer vision library) for training to obtain an eye classifier and generating a relevant XML (extensible makeup language) file; setting a rectangular eye region captured by a camera as a region of interest (ROI); carrying out smoothing to an ROI image, and carrying out edge detection; and carrying out Hough circular transformation in an obtained edge image by utilizing the characteristic that an eye cornea has remarkable circular shape, and identifying a circular sequence in the region, namely, determining that the sequence is the region where the cornea is located and the position where the center of circle is located is the pupil. An accurate and reliable position of the eye cornea can be obtained by adopting the process of the invention. The detection method has the advantages of wide application scope, high identification precision, simple detection equipment and the like.

Description

technical field [0001] The invention relates to computer vision processing, in particular to a method for locating the cornea of ​​the eyeball. Background technique [0002] Due to the development of image processing and video recognition technology, image recognition is also used in various fields of daily life and industrial production, including security and risk management, monitoring and anti-theft. Eye recognition and tracking technology is an important branch application of image recognition, and its main applications are concentrated in the fields of engineering psychology and human-computer interaction. There are three main detection methods in eye detection technology: 1. Light reflection detection 2. Contact lens detection 3. Skin potential detection. 4. Sclera iris edge reflection photosensitive tube detection method, etc. However, this detection method can be applied in a wide and narrow range, and has disadvantages such as poor recognition accuracy and high r...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62
Inventor 谢巍林伟佳黄进钰李冠霖李逸锋区家兴
Owner SOUTH CHINA UNIV OF TECH
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