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Proceedings Paper

Evaluation of the morphology structure of meibomian glands based on mask dodging method
Author(s): Huangping Yan; Yingbo Zuo; Yisha Chen; Yanping Chen
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Paper Abstract

Low contrast and non-uniform illumination of infrared (IR) meibography images make the detection of meibomian glands challengeable. An improved Mask dodging algorithm is proposed. To overcome the shortage of low contrast using traditional Mask dodging method, a scale factor is used to enhance the image after subtracting background image from an original one. Meibomian glands are detected and the ratio of the meibomian gland area to the measurement area is calculated. The results show that the improved Mask algorithm has ideal dodging effect, which can eliminate non-uniform illumination and improve contrast of meibography images effectively.

Paper Details

Date Published: 1 November 2016
PDF: 6 pages
Proc. SPIE 10157, Infrared Technology and Applications, and Robot Sensing and Advanced Control, 101573H (1 November 2016); doi: 10.1117/12.2247406
Show Author Affiliations
Huangping Yan, Xiamen Univ. (China)
Yingbo Zuo, Xiamen Univ. (China)
Yisha Chen, Xiamen Univ. (China)
Yanping Chen, Xiamen Univ. (China)


Published in SPIE Proceedings Vol. 10157:
Infrared Technology and Applications, and Robot Sensing and Advanced Control

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