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.