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Objective To automatically obtain corneal edges and associated morphological parameters from optical coherence tornography(OCT) of rabbit eyes. Methods Firstly,we used the Otsu algorithm for image binarization of rabbit eyes OCT images,and then, the circular structure element with radius of 5 pixels was used to perform morphological denoising in order to delete the internal false edges.Secondly,we obtained the corneal edge images by using Canny operator,then,error edge points were filtered.By fitting the extracted curves to the general equation of quadric curve, the curvature radius of each point on the cornea were obtained.Finally,the consistency checks between the curvature radius obtained by the algorithm in this paper and the curvature radius obtained by artificialwere carried out with Cronbach’s Alpha. Results The Canny algorithm based on morphological denoising had extracted continuous and smooth corneal internal and external edge curves.The experimental results obtained higher consistency (Cronbach’s α=0.953,P<0.05). Conclusions The Canny algorithm based on morphological denoising can more accurately recognize the form of rabbit corneas in OCT images.