This application discloses a method for detecting corneal thickness after
phacoemulsification cataract surgery based on anterior segment OCT, belonging to the field of
image analysis technology. The method includes: dividing the
cornea into multiple first regions based on a
region growing algorithm and initial corneal thickness data; obtaining second regions based on each first region; obtaining multiple partial boundaries based on the second regions; obtaining fibrotic regions based on each partial boundary; and adjusting the scanning density and
refractive index of the second regions based on the fibrotic regions and a scanning density correction coefficient to obtain the final corneal thickness data. This application combines the fibrotic regions and the scanning density correction coefficient to adjust the scanning density and
refractive index of the second regions, avoiding the errors of calculations using a uniform
refractive index in existing technologies, ultimately achieving accurate measurement of corneal thickness and solving the technical problem that existing OCT detection cannot accurately measure corneal regional thickness.