基于图像识别技术的中医肝病目诊系统设计与研发

Design and Development of eye inspection System for TCM Liver Diseases Based on Image Recognition Technology

立足于“目为肝之窍”的中医望诊理论,针对传统医学中肝病目诊缺少客观化及量化指标的问题,研发一种可穿戴的中医肝病智能目诊系统(设备)。本系统主要是由眼部图片自动采集、图谱智能生成设备及数字化诊断系统两部分构成。利用仿生模式识别理论的同源连续性算法构建眼部特征发现模块,利用仿生模式识别的高维目标识别算法实现眼部肝病图谱生成模块。通过这2个模块,根据中医目诊理论,对照片及识别结果进行分层次结构化的存储,建立有中医内涵的健康人及肝病患者人眼库,为提高中医数字化、可视化诊断水平提供方法与手段。

Based on the theory of“liver opening into eye”and aiming at the lack of objectivity and quantitative indicators of eye inspection in traditional Chinese medicine,a wearable intelligent eye inspection system(equipment)for liver diseases in traditional Chinese medicine was developed.This system is mainly composed of two parts:automatic eye image acquisition,intelligent atlas generation equipment and digital diagnosis system.The bionic pattern recognition theory homology continuity algorithm was used to construct the eye feature discovery module,and the bionic pattern recognition high-dimensional target recognition algorithm was used to realize the ocular liver disease map generation module.Through these two modules,according to the eye inspection theory,the photos and recognition results were stored in a hierarchical structure,the health and liver disease patients’eye banks were established to provide methods and means for improving the level of digitalization and visual diagnosis of TCM.