Evaluation of the morphology structure of meibomian glands based on mask dodging method

Huangping Yan; Yingbo Zuo; Yisha Chen; Yanping Chen

doi:10.1117/12.2247406

1 November 2016 Evaluation of the morphology structure of meibomian glands based on mask dodging method

Huangping Yan, Yingbo Zuo, Yisha Chen, Yanping Chen

Proceedings Volume 10157, Infrared Technology and Applications, and Robot Sensing and Advanced Control; 101573H (2016) https://doi.org/10.1117/12.2247406
Event: International Symposium on Optoelectronic Technology and Application 2016, 2016, Beijing, China

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.

Citation Download Citation

Huangping Yan, Yingbo Zuo, Yisha Chen, and Yanping Chen "Evaluation of the morphology structure of meibomian glands based on mask dodging method", Proc. SPIE 10157, Infrared Technology and Applications, and Robot Sensing and Advanced Control, 101573H (1 November 2016); https://doi.org/10.1117/12.2247406

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