Method for processing pupil tracking image

A method for processing pupil tracking images, comprising the steps of:

• 1) acquiring multiple eye images;
• 2) processing each acquired eye image, and determining whether a pupil can be positioned in the acquired image;
• and
• 3) determining that the pupil tracking is completed when the pupil can be positioned in multiple consecutive eye images of the multiple eye images;
• wherein in step 2), the processing method for each acquired eye image includes the steps of:
• step 1, searching bright spots formed by projection of illumination light on a pupil;
• step 2, performing Blob analysis on the bright spots to determine a potential pupil area;
• step 3, carrying out gray normalization on the potential pupil area and carrying out multi-scale binarization;
• step 4, finding a potential circular area through Blob analysis, and obtaining a gravity center and a rough radius of the circular area;
• step 5, taking the gravity center obtained in the step 4 as the center of a circle, adopting a 360-degree outward line drawing method to obtain gray level jump, and obtaining the maximum gray level jump of the left, right and lower parts of the pupil, namely the maximum jump being the boundaries of the left, right and lower parts of the pupil;
• step 6, obtaining a boundary and determining the reliability of the boundary by adopting a support vector machine (SVM) according to a gray value obtained by a line drawing method, the boundary being an upper edge area of the pupil;
• and
• step 7, according to the boundaries of the left, right, lower and upper parts of the pupil obtained in step 5 and step 6, the pupil is obtained by using a least square method to fit a circle.