【摘要】 目的研究一种实时、无创检测眼震状况并进行眩晕判定的图像处理方法。方法采用视频图像法,对获取的眼图进行特征分量提取、阈值变换、图像腐蚀等处理,检测出瞳孔位置,并采用辅助图片框法实时绘制其变化曲线。结果该方法可以快速、准确地检测出瞳孔位置,并实时地显示眼震的波动状况。结论实验证明,此方法能够满足实时性、准确性以及无创伤的检测要求,并为眩晕判定提供了重要依据。更多还原

【Abstract】 Objective To study an image processing method that can detect nystagmus non-invasively and do vertigo judgement in real time and without damage.Methods The eye pictures were processed by video image method,which contained pick-up of characteristic weight,transform of threshold value,image erosion,etc.When the positions of pupil were confirmed,Assistant Picture-box method was used to draw the curve of these positions.Results The pupil was detected rapidly and accurately by this method.Also the fluctuation was shown in real time.Conclusion As is shown in the experiment,this method can meet the requirement of detecting the position of pupil accurately,in real time and without damage.The achievement has provided important basis for vertigo judgement.更多还原