The invention discloses a dynamic constraint graph search-based algorithm for acquiring physiological parameters in a retinal OCT image. The algorithm is characterized in that the algorithm comprisesthe following steps of: S01, image preprocessing: a three-dimensional retina OCT image with an optic nerve head adopted a center is subjected to filtering and de-noising processing; S02, retina layering: the first layer of a retina is roughly separated out, dynamic constraint parameters are obtained, the first layer of the retina is accurately separated out on the basis of the dynamic constraint parameters, alignment processing is performed on the three-dimensional image, the eleventh layer of the retina is accurately separated out, and the seventh layer and ninth layer of the retina are accurately separated out; S03, optic disc and optic cup region segmentation; S04, cribriform plate upper boundary segmentation; and S05, the acquisition of physiological parameter information in the retinaimage. With the algorithm of the present invention adopted, the retina OCT image with the optic nerve head adopted the center can be accurately segmented, and relevant physiological parameters can beobtained.