title: [Infrared video-nystagmograph tracing].
abstract: As the infrared image gray distribution of nystagmus video is uneven, the accuracy of pupil edge detection could not be high enough. A pupil location method based on morphology and Canny algorithm was presented in this paper. Some meaningless regions were removed by morphology, and target was smoothed. The connected regions were separated, and the largest connected region-pupil was found. Then the pupil edges were extracted by the designed Canny edge detection algorithm. The coordinates of pupil for each frame images were calculated and the pupil movement tracking was fitted. Finally, desired clinical diagnostic information would be obtained from the tracking. Experimental results showed that the method could be adapted to different gray values for different objects, and could accurately detect the edge of the pupil. As the pupil was tracked well, the experimental results could reflect the eye movement. The method provides a practical way for the pupil location of existing domestic researches in video-nystagmograph.
authors.affiliation: State Key Laboratory of Power Transmission Equipment & System Security and New Technology, Chongqing University, Chongqing 400044, China. cxjnet@126.com
authors.forename: Xuejun
authors.initials: X
authors.lastname: Chen
authors.forename: Yongming
authors.initials: Y
authors.lastname: Yang
authors.forename: Wei
authors.initials: W
authors.lastname: He
mesh_terms: D000465:Algorithms; D004584:Electronystagmography / Q000295:instrumentation* / Q000379:methods; D005133:Eye Movements / Q000502:physiology; D006801:Humans; D007259:Infrared Rays; D007498:Iris / Q000033:anatomy & histology*; D009759:Nystagmus, Pathologic / Q000175:diagnosis*; D014743:Videotape Recording