Recognition Algorithm Based on Improved FCM and Rough Sets for Meibomian Gland Morphology
AbstractTo overcome the limitation of artificial judgment of meibomian gland morphology, we proposed a solution based on an improved fuzzy c-means (FCM) algorithm and rough sets theory. The rough sets reduced the redundant attributes while ensuring classification accuracy, and greatly reduced the amount of computation to achieve information dimension compression and knowledge system simplification. However, before this reduction, data must be discretized, and this process causes some degree of information loss. Therefore, to maintain the integrity of the information, we used the improved FCM to make attributes fuzzy instead of discrete before continuing with attribute reduction, and thus, the implicit knowledge and decision rules were more accurate. Our algorithm overcame the defects of the traditional FCM algorithm, which is sensitive to outliers and easily falls into local optima. Our experimental results show that the proposed method improved recognition efficiency without degrading recognition accuracy, which was as high as 97.5%. Furthermore, the meibomian gland morphology was diagnosed efficiently, and thus this method can provide practical application values for the recognition of meibomian gland morphology. View Full-Text
Scifeed alert for new publicationsNever miss any articles matching your research from any publisher
- Get alerts for new papers matching your research
- Find out the new papers from selected authors
- Updated daily for 49'000+ journals and 6000+ publishers
- Define your Scifeed now
Liang, F.; Xu, Y.; Li, W.; Ning, X.; Liu, X.; Liu, A. Recognition Algorithm Based on Improved FCM and Rough Sets for Meibomian Gland Morphology. Appl. Sci. 2017, 7, 192.
Liang F, Xu Y, Li W, Ning X, Liu X, Liu A. Recognition Algorithm Based on Improved FCM and Rough Sets for Meibomian Gland Morphology. Applied Sciences. 2017; 7(2):192.Chicago/Turabian Style
Liang, Fengmei; Xu, Yajun; Li, Weixin; Ning, Xiaoling; Liu, Xueou; Liu, Ajian. 2017. "Recognition Algorithm Based on Improved FCM and Rough Sets for Meibomian Gland Morphology." Appl. Sci. 7, no. 2: 192.
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.