Intraocular pressure measuring device and method

Abstract

Disclosed is an intraocular pressure measuring device and method. The measuring method includes: identifying and segmenting interference fringe areas using the YOLOv11-seg model; conducting binary segmentation and extracting the interference fringe areas using a deep convolutional neural network; extracting skeletons of the binarizing interference fringes, marking orders of the fringes, and then calculating central deflections of a film of the Fabry-Pérot cavity under pressure; and acquiring intraocular pressures according to the central deflections. Square interference fringe areas are accurately identified, segmented, and extracted using the YOLOv11-seg model. Then, the skeletons of the fringes after binarization are extracted, the orders of the fringes are marked, and the central deflections of the film under pressure are calculated. Finally, according to the correspondence relation between the central deflection of the sensor and the pressure on the sensor calibrated, the pictures containing interference fringe images are converted into pressure values.

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