The invention provides a fundus OCT imaging diopter
adaptive matching method and device, and relates to the technical field of
retina imaging, and the method comprises the following steps: detecting
pupil positions in real time, automatically tracking pupils, and controlling a reference arm motor and a sample arm motor to move to initial positions; a reference arm motor is controlled to move, meanwhile, a
retina structure in an OCT image is detected through a
deep learning algorithm, and the eye axis length of the testee is automatically matched; the reference arm motor and the sample arm motor are controlled to move synchronously, the
retina focusing position is found by calculating the composite information entropy of the OCT image, and the diopter of the testee is automatically compensated; and detecting and adjusting the position of the retina in the image by using a
deep learning algorithm to cover retina imaging with a large view. According to the method, the OCT imaging device is automatically controlled, an automatic solution is provided for eye ground screening of people of multiple
age groups and various ametropia groups, the overall
image quality collected by OCT is improved, and the operation simplicity and the imaging speed are remarkably improved.