Journal of Xidian University ›› 2018, Vol. 45 ›› Issue (6): 150-155.doi: 10.3969/j.issn.1001-2400.2018.06.025

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Automatic assessment of children's vision

LI Xue1;AI Lirong1;ZHOU Xiaojing1;ZHANG Kai2   

  1. (1. School of Computer, Northwestern Polytechnical Univ., Xi'an 710072, China;
    2. School of Computer Science and Technology, Xidian Univ., Xi'an 710071, China)
  • Received:2018-03-31 Online:2018-12-20 Published:2018-12-20

Abstract: Aiming at the difficulty of children's vision examination, an automatic evaluation method for children's vision examination video is proposed based on the synchronization system of children's vision examination. In this method, the target detection algorithm is used to locate important objects such as the vision card and the examinee's eyes in the video, the doctor's experience is simulated to analyze the child's gaze situation on different grades of vision cards, and then an image classification algorithm is used for the bars on the critical vision card. Hence the visual acuity level is evaluated by the above information. The accuracy of both key object detection and vision card classification has reached more than 90%, and the accuracy of automatic vision assessment for children has reached 70%. Therefore the method of automatic assessment for children's vision level is convenient and objective, which is of important reference value for clinicians.

Key words: target detection, image classification, visual card, bar, automatic evaluation

CLC Number: 

  • TP39