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AssigneeVisionquest Biomedical LLC
InventorsSimon Barriga, Carla Agurto, Honggang Yu, Peter Soliz, Gilberto Zamora, Vinayak Joshi
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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.
A method to perform automatic retinal screening, the method comprising the steps of:
A system to perform automatic retinal screening, said system comprising:
A method to automatically determine image quality of a digital retinal image, the method comprising the steps of:
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