Infrared video-nystagmograph tracing / 生物医学工程学杂志
Journal of Biomedical Engineering
;
(6): 347-351, 2012.
Article
in Chinese
| WPRIM
| ID: wpr-271776
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.
Full text:
Available
Index:
WPRIM (Western Pacific)
Main subject:
Physiology
/
Algorithms
/
Iris
/
Nystagmus, Pathologic
/
Videotape Recording
/
Diagnosis
/
Electronystagmography
/
Eye Movements
/
Infrared Rays
/
Methods
Type of study:
Diagnostic study
Limits:
Humans
Language:
Chinese
Journal:
Journal of Biomedical Engineering
Year:
2012
Type:
Article
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