幼儿视力检查的自动评测方法

针对小儿视力检查困难的问题，在小儿视力检查同步系统的基础上提出了一种对小儿视力检查视频的自动评测方法．该方法使用目标检测算法定位视频中的视力卡和被检查者的眼睛等重要对象，再模拟医生经验分析小孩对不同等级视力卡的注视情况，对分析出的关键视力卡使用图像分类算法对条栅进行分类，综合上述信息评估视力等级．该方法对关键对象检测和视力卡分级的准确率均达到了90%以上，幼儿视力自动评估的准确率达到了70%，实现了方便、客观地进行小儿视力检查视频等级的自动评测，对临床医生有重要的参考价值．

Automatic assessment of children's vision

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.