中文摘要：

青光眼是一种常见疑难眼病,是导致人类失明的三大致盲眼病之一。青光眼治疗的关键在于早期发现。但是,医学上检测青光眼步骤复杂繁琐,不适于普通人在日常生活中进行自我检查。因此,文中开发了一种适于普通人自我检查的青光眼快速检测系统。系统首先采用闭运算对瞳孔图像进行预处理;其次,使用基于K均值聚类的Canny边缘检测算法提取瞳孔边缘并获得瞳孔横径;接着,通过光刺激下瞳孔横径变化间接得到被检测者瞳孔的运动状况;最后,结合青光眼临床表现判定被检测者是否患有青光眼。实验结果表明,文中检测系统准确、高效且无创。

英文摘要：

Glaucoma is a common stubborn eye disease,which is also one of the three diseases leading to human blindness. The key to prevention of glaucoma diagnosis is early treatment. However,complex and cumbersome step for glaucoma detection in medical is not suitable for ordinary people check in their daily lives. Therefore,a rapid detection system adapted for ordinary self- examination in glaucoma is proposed. Firstly,the system adopts closing operation in the pretreatment process of pupil image. Secondly,it takes the measure of Canny edge detection algorithm based on K- means clustering to extract the pupil edge and get diameter of the pupil. Then,the movement of the detected pupil could be got indirectly through the changes of pupil diameter under the condition of light stimuli. Finally,a judgment is made whether it is glaucoma combining with clinical manifestation or not. The experimental results showthe system is accurate,effective and noninvasive in the detection of glaucoma.