Open AccessOriginal askiatic imaging used in Chinese medicine eye-feature diagnosis of visceral diseases
Author(s) -
Xue Ning,
Kai Jiang,
Qi Li,
Lili Zhang,
Li Ma,
Ruliang Wang,
Rongxin Fu,
Xichuan Lin,
Ya Su,
Xiangyu Jin,
Rongzan Lin,
Guanwen Huang
Publication year - 2018
Publication title -
journal of innovative optical health sciences/journal of innovation in optical health science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.421
H-Index - 24
eISSN - 1793-5458
pISSN - 1793-7205
DOI - 10.1142/s1793545818500232
Subject(s) - feature (linguistics) , artificial intelligence , computer vision , computer science , shadow (psychology) , medical imaging , medicine , reflection (computer programming) , optometry , pattern recognition (psychology) , psychology , philosophy , linguistics , psychotherapist , programming language
Eye-feature diagnosis is a time-honored method for studying many diseases in traditional Chinese medicine. There is a close relationship between eye-feature and viscera, and eye-feature is a reflection of visceral health status. Commercially used ophthalmology diagnosis instruments have disadvantages and cannot satisfy the requirements of eye-feature diagnosis. In this paper, we proposed a novel askiatic imaging method that removes the interference of an illumination source’s reflection shadow and is free from image splicing. We developed a novel imaging system to implement this method, and some eye-feature characteristics to analyze visceral diseases were obtained.