Simon Barriga,Carla Agurto,Honggang Yu,Peter Soliz,Gilberto Zamora,Vinayak Joshi
申请号：
US15290911
公开号：
US10413180B1
申请日:
2016.10.11
申请国别(地区):
US
年份:
2019
代理人:
摘要：
Systems and methods of obtaining and recording fundus images by minimally trained persons, which includes a camera for obtaining images of a fundus of a subject's eye, in combination with mathematical methods to assign real time image quality classification to the images obtained based upon a set of criteria. The classified images will be further processed if the classified images are of sufficient image quality for clinical interpretation by machine-coded and/or human-based methods. Such systems and methods can thus automatically determine whether the quality of a retinal image is sufficient for computer-based eye disease screening. The system integrates global histogram features, textural features, and vessel density, as well as a local non-reference perceptual sharpness metric. A partial least square (PLS) classifier is trained to distinguish low quality images from normal quality images.
